diff --git a/latestsites/erg/feed.xml b/latestsites/erg/feed.xml
index 3c786db2..41f29b83 100644
--- a/latestsites/erg/feed.xml
+++ b/latestsites/erg/feed.xml
@@ -1 +1 @@
-Jekyll 2024-08-28T06:59:00+00:00 https://delph-in.github.io/docs/erg/feed.xml DELPH-IN DELPH-IN Documentation DELPH-IN Jekyll 2024-08-29T06:59:31+00:00 https://delph-in.github.io/docs/erg/feed.xml DELPH-IN DELPH-IN Documentation DELPH-IN
https://delph-in.github.io/docs/erg/nav.html
-2024-08-28T06:54:10+00:00
+2024-08-29T06:54:16+00:00
diff --git a/latestsites/garage/feed.xml b/latestsites/garage/feed.xml
index 76bd7307..c49c974c 100644
--- a/latestsites/garage/feed.xml
+++ b/latestsites/garage/feed.xml
@@ -1 +1 @@
-Jekyll 2024-08-28T06:58:18+00:00 https://delph-in.github.io/docs/garage/feed.xml DELPH-IN DELPH-IN Documentation DELPH-IN Jekyll 2024-08-29T06:58:47+00:00 https://delph-in.github.io/docs/garage/feed.xml DELPH-IN DELPH-IN Documentation DELPH-IN
https://delph-in.github.io/docs/garage/nav.html
-2024-08-28T06:54:10+00:00
+2024-08-29T06:54:16+00:00
diff --git a/latestsites/grammars/feed.xml b/latestsites/grammars/feed.xml
index 8489f317..e64e2947 100644
--- a/latestsites/grammars/feed.xml
+++ b/latestsites/grammars/feed.xml
@@ -1 +1 @@
-Jekyll 2024-08-28T06:59:06+00:00 https://delph-in.github.io/docs/grammars/feed.xml DELPH-IN DELPH-IN Documentation DELPH-IN Jekyll 2024-08-29T06:59:37+00:00 https://delph-in.github.io/docs/grammars/feed.xml DELPH-IN DELPH-IN Documentation DELPH-IN
https://delph-in.github.io/docs/grammars/nav.html
-2024-08-28T06:54:10+00:00
+2024-08-29T06:54:16+00:00
diff --git a/latestsites/home/Home.md b/latestsites/home/Home.md
index ce8a1705..e597f8cb 100644
--- a/latestsites/home/Home.md
+++ b/latestsites/home/Home.md
@@ -166,4 +166,6 @@ is a link to the archive near the top of the page.
There is also an active [stack-exchange style
forum](http://discourse.delph-in.net), using the Discourse platform.
-Last update: 2024-08-18 by Francis Bond [[edit](https://github.com/delph-in/docs/wiki/Home/_edit)]{% endraw %}
\ No newline at end of file
+DELPH-IN is organized by a [standing commitee](https://delph-in.github.io/docs/summits/StandingCommitteeGroup/), but it is pretty informal.
+
+Last update: 2024-08-28 by Francis Bond [[edit](https://github.com/delph-in/docs/wiki/Home/_edit)]{% endraw %}
\ No newline at end of file
diff --git a/latestsites/home/Home/index.html b/latestsites/home/Home/index.html
index 8090fb39..030881c4 100644
--- a/latestsites/home/Home/index.html
+++ b/latestsites/home/Home/index.html
@@ -426,7 +426,9 @@
There is also an active stack-exchange style
forum , using the Discourse platform.
-Last update: 2024-08-18 by Francis Bond [edit ]
+DELPH-IN is organized by a standing commitee , but it is pretty informal.
+
+Last update: 2024-08-28 by Francis Bond [edit ]
diff --git a/latestsites/home/feed.xml b/latestsites/home/feed.xml
index 25b8a17d..5808a8aa 100644
--- a/latestsites/home/feed.xml
+++ b/latestsites/home/feed.xml
@@ -1 +1 @@
-Jekyll 2024-08-28T06:58:08+00:00 https://delph-in.github.io/docs/home/feed.xml DELPH-IN DELPH-IN Documentation DELPH-IN Jekyll 2024-08-29T06:58:37+00:00 https://delph-in.github.io/docs/home/feed.xml DELPH-IN DELPH-IN Documentation DELPH-IN
https://delph-in.github.io/docs/home/nav.html
-2024-08-28T06:54:10+00:00
+2024-08-29T06:54:16+00:00
diff --git a/latestsites/howto/feed.xml b/latestsites/howto/feed.xml
index 94cfd829..dd5a6a1d 100644
--- a/latestsites/howto/feed.xml
+++ b/latestsites/howto/feed.xml
@@ -1 +1 @@
-Jekyll 2024-08-28T06:58:13+00:00 https://delph-in.github.io/docs/howto/feed.xml DELPH-IN DELPH-IN Documentation DELPH-IN Jekyll 2024-08-29T06:58:42+00:00 https://delph-in.github.io/docs/howto/feed.xml DELPH-IN DELPH-IN Documentation DELPH-IN
https://delph-in.github.io/docs/howto/nav.html
-2024-08-28T06:54:10+00:00
+2024-08-29T06:54:16+00:00
diff --git a/latestsites/index.json b/latestsites/index.json
index 341b1e32..5172e880 100644
--- a/latestsites/index.json
+++ b/latestsites/index.json
@@ -1 +1 @@
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diff --git a/latestsites/summits/StandingCommitteeGroup.md b/latestsites/summits/StandingCommitteeGroup.md
index 88a34409..12281804 100644
--- a/latestsites/summits/StandingCommitteeGroup.md
+++ b/latestsites/summits/StandingCommitteeGroup.md
@@ -7,6 +7,7 @@
- Dan Flickinger
- Luís Morgado da Costa
- Stephan Oepen
+- Alexandre Rademaker
- Olga Zamaraeva
-Last update: 2024-08-27 by Francis Bond [[edit](https://github.com/delph-in/docs/wiki/StandingCommitteeGroup/_edit)]{% endraw %}
\ No newline at end of file
+Last update: 2024-08-28 by Francis Bond [[edit](https://github.com/delph-in/docs/wiki/StandingCommitteeGroup/_edit)]{% endraw %}
\ No newline at end of file
diff --git a/latestsites/summits/StandingCommitteeGroup/index.html b/latestsites/summits/StandingCommitteeGroup/index.html
index 2dea77bc..9a234cd7 100644
--- a/latestsites/summits/StandingCommitteeGroup/index.html
+++ b/latestsites/summits/StandingCommitteeGroup/index.html
@@ -1205,10 +1205,11 @@
Dan Flickinger
Luís Morgado da Costa
Stephan Oepen
+ Alexandre Rademaker
Olga Zamaraeva
-Last update: 2024-08-27 by Francis Bond [edit ]
+Last update: 2024-08-28 by Francis Bond [edit ]
diff --git a/latestsites/summits/feed.xml b/latestsites/summits/feed.xml
index 06a795ce..ee714826 100644
--- a/latestsites/summits/feed.xml
+++ b/latestsites/summits/feed.xml
@@ -1 +1 @@
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https://delph-in.github.io/docs/summits/nav.html
-2024-08-28T06:54:10+00:00
+2024-08-29T06:54:16+00:00
diff --git a/latestsites/tools/feed.xml b/latestsites/tools/feed.xml
index b82661ed..fb1af5ad 100644
--- a/latestsites/tools/feed.xml
+++ b/latestsites/tools/feed.xml
@@ -1 +1 @@
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https://delph-in.github.io/docs/tools/nav.html
-2024-08-28T06:54:10+00:00
+2024-08-29T06:54:16+00:00
diff --git a/latestsrc/AllLinks.json b/latestsrc/AllLinks.json
index 1b1fb0d4..24e02445 100644
--- a/latestsrc/AllLinks.json
+++ b/latestsrc/AllLinks.json
@@ -77,6 +77,7 @@
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{"Site": "home", "Section": "DELPH-IN Docs", "Page": "Overview", "SrcDir": "docswiki", "SrcFile": "Home.md", "RootRelativeLink": "Home", "AbsoluteLink": "https://delph-in.github.io/docs/home/Home", "Link": "http://discourse.delph-in.net", "LinkTarget": null, "ResolvedLink": "http://discourse.delph-in.net", "TargetFile": null, "LinkState": "absolute_unchecked", "LinkStateMessage": null},
+{"Site": "home", "Section": "DELPH-IN Docs", "Page": "Overview", "SrcDir": "docswiki", "SrcFile": "Home.md", "RootRelativeLink": "Home", "AbsoluteLink": "https://delph-in.github.io/docs/home/Home", "Link": "https://delph-in.github.io/docs/summits/StandingCommitteeGroup/", "LinkTarget": null, "ResolvedLink": "https://delph-in.github.io/docs/summits/StandingCommitteeGroup/", "TargetFile": null, "LinkState": "absolute_unchecked", "LinkStateMessage": null},
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{"Site": "home", "Section": "DELPH-IN Docs", "Page": "Welcome", "SrcDir": "docswiki", "SrcFile": "DelphinWelcome.md", "RootRelativeLink": "DelphinWelcome", "AbsoluteLink": "https://delph-in.github.io/docs/home/DelphinWelcome", "Link": "WikiName", "LinkTarget": "WikiName", "ResolvedLink": "", "TargetFile": "WikiName.md", "LinkState": "relative_ignore", "LinkStateMessage": "Wiki page is marked as so links are removed to it"},
diff --git a/latestsrc/home/Home.md b/latestsrc/home/Home.md
index ce8a1705..e597f8cb 100644
--- a/latestsrc/home/Home.md
+++ b/latestsrc/home/Home.md
@@ -166,4 +166,6 @@ is a link to the archive near the top of the page.
There is also an active [stack-exchange style
forum](http://discourse.delph-in.net), using the Discourse platform.
-Last update: 2024-08-18 by Francis Bond [[edit](https://github.com/delph-in/docs/wiki/Home/_edit)]{% endraw %}
\ No newline at end of file
+DELPH-IN is organized by a [standing commitee](https://delph-in.github.io/docs/summits/StandingCommitteeGroup/), but it is pretty informal.
+
+Last update: 2024-08-28 by Francis Bond [[edit](https://github.com/delph-in/docs/wiki/Home/_edit)]{% endraw %}
\ No newline at end of file
diff --git a/latestsrc/index_source.js b/latestsrc/index_source.js
index 4905e8af..112e70fc 100644
--- a/latestsrc/index_source.js
+++ b/latestsrc/index_source.js
@@ -1,5 +1,5 @@
[{"body": ""}
-, {"url": "https://delph-in.github.io/docs/home/Home", "excerpt":"DELPH-IN Overview\nThe DELPH-IN Consortium is a collaboration among computational linguists\nfrom research sites world-wide working on \u2018deep\u2019 linguistic processing\nof human language. The goal is the combination of linguistic and\nstatistical processing methods for getting at the meaning of texts and\nutterances. The partners have adopted Head-Driven Phrase Structure\nGrammar (HPSG) and Minimal Recursion Semantics (MRS), two advanced\nmodels of formal linguistic analysis. They have also committed\nthemselves to a shared format for grammatical representation and to a\nrigid scheme of evaluation, as well as to the general use of open-source\nlicensing and transparency.\nDELPH-IN is a long-standing collaboration over many years involving\nresearchers from the following institutions, among others:\nBulgarian Academy of Science (Bulgaria),\nLinguistic Modeling Department\n\nUniversity of Cambridge (UK), Department\nof Computer Science and Technology\n\nGetulio Vargas Foundation (Brazil), Applied\nMathematics Department\n\nIBM Research (Brazil), Brazil\nResearch Lab\n\nKyung Hee University (Korea),\nSchool of English\n\nNorwegian University of Science and\nTechnology (Norway), Department of Language\nand Communication Studies\n\nPalack\u00fd University Olomouc (Czechia),\nDepartment of Asian Studies\n\nCNRS & Universit\u00e9 Paris\nDiderot (France), Laboratoire\nde Linguistique Formelle (UMR 7110)\n\nUniversity of Oslo (Norway), Language\nTechnology\nGroup\n\nUniversity of Sussex (UK), AI\nResearch Group\n\nUniversity of Washington (US),\nComputational Linguistics Laboratory\n\nVrije Universiteit Amsterdam (Netherlands), Computational Linguistics & Text Mining Lab\n\nWestern Norway University of Applied Sciences (Norway), Department of Language, Literature, Mathematics and Interpreting\n\nFormer members\nDFKI Saarbr\u00fccken GmbH (Germany), Language\nTechnology Lab (co-founder)\n\nMelbourne University (Australia),\nLanguage Technology Group\n\nNanyang Technological University\n(Singapore), Division of Linguistics and Multilingual\nStudies\n\nNational Institute of Information and Communications Technology (NICT: Japan)\n\nNTT Communication Science\nLaboratories (Japan),\nInteraction Research Group\n\nSaarland University (Germany),\nDepartment for Computational\nLinguistics\n\nStanford University (US), LinGO\nLaboratory at CSLI (co-founder)\n\nUniverstitat de Barcelona (Spain), Grup de\nRecerca Interuniversitari en Aplicacions Ling\u00fc\u00edstiques\n(GRIAL)\n\nUniversity of Lisbon (Portugal), Natural\nLanguage and Speech Group\n\nUniverstitat Pompeu Fabra (Spain), Institut\nUniversitari de Ling\u00fc\u00edstica Aplicada\n(IULA)\n\nUniversity of Tokyo (Japan)\n\nThe DELPH-IN collaboration is open to additional partners and individuals\nwho share our goals and are interested in contributing to the common task.\nComponents and Resources\nTools and Architectures\nDelphinWelcome\n\nLKB: Lexical Knowledge Builder --- Grammar Engineering\nEnvironment\n\n[incr tsdb()]: Competence and Performance Profiler\n\nACE: Answer Constraint Engine, parsing and generation\nwith DELPH-IN grammars\n\nPyDelphin: Python library for working with\nDELPH-IN representations\n\nLOGON: Information about the LOGON machine translation\ninfrastructure.\n\nPet: Platform for Experimentation with efficient HPSG\nprocessing Techniques\n\nOther tools: Supporting software, addons, peripheral\ncontributions\n\nGrammars, Frameworks and Treebanks\nEnglish Resource Grammar: DELPH-IN's most comprehensive\ngrammar.\nTutorial on using the ERG, presented at NAACL\n2016\n\nDocumentation of the ERG's semantic\nrepresentations\n\n\nCatalogue of Grammars, including\nbroad-coverage grammars for German, Japanese, Norwegian, and\nSpanish, along with significant grammars for several other\nlanguages.\n\nMatrix: Starter-Kit for rapid prototyping of\nLKB-compatible precision grammars\n\nCLIMB: Tools to support grammar development of\nLKB-compatible precision grammars\n\nRedwoods: HPSG Treebank Comprised of Analyses\nfrom the ERG\n\nMRS: Minimal Recursion Semantics --- Theory and\nImplementation (including extensions and variants such Robust MRS\n(RMS), Elementary Dependency Structures (EDS) and Dependency MRS\n(DMRS))\nErgSemantics: Emerging documentation of MRS\nas used in the ERG\n\nRmrsDiscussions: Links to discussions\nrelated to MRS at various DELPH-IN events\n\n\nShared Corpora, Treebanks\nMRS Test Suite: Core Test Suite (~100\nsentences)\n\nCathedral and the Bazaar: Parallel Corpus\nbased on an Open Source Essay (~800 sentences)\n\n\nGrammar discussions: Discussions for\ngrammar developers (analyses, terminology, harmonization, \u2026)\n\nDELPH-IN RFCs (Requests For Comments; formal\nspecifications)\n\nApplications\nDELPH-IN Applications\n\nAbout this Site\nThis is the on-line wiki forum for DELPH-IN software and resources. It\nserves to enable both developers and users to incrementally create\nfurther documentation and up-to-date information on aspects of\ninstallation or usage of DELPH-IN technology. Mostly to enforce some\ndiscipline among ourselves, these pages require that users are\nregistered to the wiki server in order to obtain write access. Please\ncreate a WikiName for yourself, which may require obtaining\na \u2018textcha\u2019 to protect against wiki spam; once registered at the wiki,\nto request write access please contact info at delph-in.net. The\ndevelopers do hope that active DELPH-IN users will contribute to these\npages over time.\nArchives\nSome information from the earlier years of DELPH-IN collaborations is\npreserved on the following pages, for historical interest:\nEarlier DELPH-IN news items\n\nLinks to earlier DELPH-IN-related projects\n\nEarlier overviews of the DELPH-IN consortium\n\nFurther Information\nThere is a collection of DELPH-IN mailing\nlists to which users can subscribe on-line\nand browse archives of previous postings through the DELPH-IN mailing\nlist manager. If you click on a list, there\nis a link to the archive near the top of the page.\nThere is also an active stack-exchange style\nforum, using the Discourse platform.\n", "title":"Overview", "teaser":"DELPH-IN Overview\nThe DELPH-IN Consortium is a collaboration among computational linguists\nfrom research sites world-wide working on \u2018deep\u2019 linguistic ...", "site":"DELPH-IN", "section":"DELPH-IN Docs", "categories":"", "tags":""}
+, {"url": "https://delph-in.github.io/docs/home/Home", "excerpt":"DELPH-IN Overview\nThe DELPH-IN Consortium is a collaboration among computational linguists\nfrom research sites world-wide working on \u2018deep\u2019 linguistic processing\nof human language. The goal is the combination of linguistic and\nstatistical processing methods for getting at the meaning of texts and\nutterances. The partners have adopted Head-Driven Phrase Structure\nGrammar (HPSG) and Minimal Recursion Semantics (MRS), two advanced\nmodels of formal linguistic analysis. They have also committed\nthemselves to a shared format for grammatical representation and to a\nrigid scheme of evaluation, as well as to the general use of open-source\nlicensing and transparency.\nDELPH-IN is a long-standing collaboration over many years involving\nresearchers from the following institutions, among others:\nBulgarian Academy of Science (Bulgaria),\nLinguistic Modeling Department\n\nUniversity of Cambridge (UK), Department\nof Computer Science and Technology\n\nGetulio Vargas Foundation (Brazil), Applied\nMathematics Department\n\nIBM Research (Brazil), Brazil\nResearch Lab\n\nKyung Hee University (Korea),\nSchool of English\n\nNorwegian University of Science and\nTechnology (Norway), Department of Language\nand Communication Studies\n\nPalack\u00fd University Olomouc (Czechia),\nDepartment of Asian Studies\n\nCNRS & Universit\u00e9 Paris\nDiderot (France), Laboratoire\nde Linguistique Formelle (UMR 7110)\n\nUniversity of Oslo (Norway), Language\nTechnology\nGroup\n\nUniversity of Sussex (UK), AI\nResearch Group\n\nUniversity of Washington (US),\nComputational Linguistics Laboratory\n\nVrije Universiteit Amsterdam (Netherlands), Computational Linguistics & Text Mining Lab\n\nWestern Norway University of Applied Sciences (Norway), Department of Language, Literature, Mathematics and Interpreting\n\nFormer members\nDFKI Saarbr\u00fccken GmbH (Germany), Language\nTechnology Lab (co-founder)\n\nMelbourne University (Australia),\nLanguage Technology Group\n\nNanyang Technological University\n(Singapore), Division of Linguistics and Multilingual\nStudies\n\nNational Institute of Information and Communications Technology (NICT: Japan)\n\nNTT Communication Science\nLaboratories (Japan),\nInteraction Research Group\n\nSaarland University (Germany),\nDepartment for Computational\nLinguistics\n\nStanford University (US), LinGO\nLaboratory at CSLI (co-founder)\n\nUniverstitat de Barcelona (Spain), Grup de\nRecerca Interuniversitari en Aplicacions Ling\u00fc\u00edstiques\n(GRIAL)\n\nUniversity of Lisbon (Portugal), Natural\nLanguage and Speech Group\n\nUniverstitat Pompeu Fabra (Spain), Institut\nUniversitari de Ling\u00fc\u00edstica Aplicada\n(IULA)\n\nUniversity of Tokyo (Japan)\n\nThe DELPH-IN collaboration is open to additional partners and individuals\nwho share our goals and are interested in contributing to the common task.\nComponents and Resources\nTools and Architectures\nDelphinWelcome\n\nLKB: Lexical Knowledge Builder --- Grammar Engineering\nEnvironment\n\n[incr tsdb()]: Competence and Performance Profiler\n\nACE: Answer Constraint Engine, parsing and generation\nwith DELPH-IN grammars\n\nPyDelphin: Python library for working with\nDELPH-IN representations\n\nLOGON: Information about the LOGON machine translation\ninfrastructure.\n\nPet: Platform for Experimentation with efficient HPSG\nprocessing Techniques\n\nOther tools: Supporting software, addons, peripheral\ncontributions\n\nGrammars, Frameworks and Treebanks\nEnglish Resource Grammar: DELPH-IN's most comprehensive\ngrammar.\nTutorial on using the ERG, presented at NAACL\n2016\n\nDocumentation of the ERG's semantic\nrepresentations\n\n\nCatalogue of Grammars, including\nbroad-coverage grammars for German, Japanese, Norwegian, and\nSpanish, along with significant grammars for several other\nlanguages.\n\nMatrix: Starter-Kit for rapid prototyping of\nLKB-compatible precision grammars\n\nCLIMB: Tools to support grammar development of\nLKB-compatible precision grammars\n\nRedwoods: HPSG Treebank Comprised of Analyses\nfrom the ERG\n\nMRS: Minimal Recursion Semantics --- Theory and\nImplementation (including extensions and variants such Robust MRS\n(RMS), Elementary Dependency Structures (EDS) and Dependency MRS\n(DMRS))\nErgSemantics: Emerging documentation of MRS\nas used in the ERG\n\nRmrsDiscussions: Links to discussions\nrelated to MRS at various DELPH-IN events\n\n\nShared Corpora, Treebanks\nMRS Test Suite: Core Test Suite (~100\nsentences)\n\nCathedral and the Bazaar: Parallel Corpus\nbased on an Open Source Essay (~800 sentences)\n\n\nGrammar discussions: Discussions for\ngrammar developers (analyses, terminology, harmonization, \u2026)\n\nDELPH-IN RFCs (Requests For Comments; formal\nspecifications)\n\nApplications\nDELPH-IN Applications\n\nAbout this Site\nThis is the on-line wiki forum for DELPH-IN software and resources. It\nserves to enable both developers and users to incrementally create\nfurther documentation and up-to-date information on aspects of\ninstallation or usage of DELPH-IN technology. Mostly to enforce some\ndiscipline among ourselves, these pages require that users are\nregistered to the wiki server in order to obtain write access. Please\ncreate a WikiName for yourself, which may require obtaining\na \u2018textcha\u2019 to protect against wiki spam; once registered at the wiki,\nto request write access please contact info at delph-in.net. The\ndevelopers do hope that active DELPH-IN users will contribute to these\npages over time.\nArchives\nSome information from the earlier years of DELPH-IN collaborations is\npreserved on the following pages, for historical interest:\nEarlier DELPH-IN news items\n\nLinks to earlier DELPH-IN-related projects\n\nEarlier overviews of the DELPH-IN consortium\n\nFurther Information\nThere is a collection of DELPH-IN mailing\nlists to which users can subscribe on-line\nand browse archives of previous postings through the DELPH-IN mailing\nlist manager. If you click on a list, there\nis a link to the archive near the top of the page.\nThere is also an active stack-exchange style\nforum, using the Discourse platform.\nDELPH-IN is organized by a standing commitee, but it is pretty informal.\n", "title":"Overview", "teaser":"DELPH-IN Overview\nThe DELPH-IN Consortium is a collaboration among computational linguists\nfrom research sites world-wide working on \u2018deep\u2019 linguistic ...", "site":"DELPH-IN", "section":"DELPH-IN Docs", "categories":"", "tags":""}
, {"url": "https://delph-in.github.io/docs/home/DelphinWelcome", "excerpt":"This is a page for newcomers to the DELPH-IN community. Welcome!\nMost of the information is already on the overview page, but this is more\ndirect.\nWhen you join, it can be a bit overwhelming. Some of the discussion may\nbe a bit detailed at first, but we would recommend you join:\nThe stack-exchange style forum,\nusing the Discourse platform.\n\nThe developers list (DELPH-IN mailing\nlists). If you click on a list, there\nis a link to the archive near the top of the page.\n\nYou are also encouraged to join the wiki: Please create a\nWikiName for yourself, which may require obtaining a\n\u2018textcha\u2019 to protect against wiki spam; once registered at the wiki,\nto request write access please contact info at delph-in.net. We\nhope that you will contribute to these pages over time.\n\nHere are a few pages designed for people getting familiar with DELPH-IN\ntechnology:\nDemo: A demo of DELPH-IN technologies processing phrases to generate the MRS semantic representation across several languages.\n\nErsTutorial: A tutorial on using the ERG\n\nErgSemantics: Documentation of the semantic\nrepresentations produced by the ERG\n\nMatrixGettingStarted: A starting point for\nusing the Grammar Matrix\n\n", "title":"Welcome", "teaser":"This is a page for newcomers to the DELPH-IN community. Welcome!\nMost of the information is already on the overview page, but this is more\ndirect.\nWhe ...", "site":"DELPH-IN", "section":"DELPH-IN Docs", "categories":"", "tags":""}
, {"url": "https://delph-in.github.io/docs/home/DelphinApplications", "excerpt":"Background\nFollowing a discussion at the 2014 DELPH-IN Summit in Tomar, the purpose\nof this page is to collect links to work that uses DELPH-IN tools and\nresources in various applications, with links to publications and source\ncode, where available, but not limited to work that has been published.\nPapers marked with an asterisk at the end of the title describe\nstate-of-the-art results (as of the time of writing).\nSome of this work is surveyed in section 4 of:\nEmily M. Bender and Guy Emerson. 2020. Computational linguistics\nand grammar\nengineering.\nIn Stefan M\u00fcller, Anne Abeill\u00e9, Robert D. Borsley, and Jean-Pierre\nKoenig (eds.), Head-Driven Phrase Structure Grammar: The handbook.\nLanguage Science Press.\n\nApplications\nACL Anthology Searchbench\nSch\u00e4fer, Ulrich, Kiefer, Bernd, Spurk, Christian, Steffen, J\u00f6rg, &\nWang, Rui. (2011). The ACL Anthology Searchbench. In Proceedings of\nthe ACL-HLT 2011 system demonstrations (pp. 7\u201313). Portland, Oregon:\nAssociation for Computational Linguistics. Paper\n(pdf) and\nSearchbench\n\nCoreference Resolution\nTrimble, T.J., with Ryan Aldrich. 2014. Towards Augmenting\nCoreference Resolution with a Broad Coverage Precision Grammar.\nUnpublished Manuscript. Paper\n(pdf)\n\nDisambiguation\nGuy Emerson and Ann Copestake. 2015. Leveraging a Semantically\nAnnotated Corpus to Disambiguate Prepositional Phrase Attachment. In\nProceedings of the 11th International Conference on Computational\nSemantics (IWCS). Paper\n(pdf),\nVideo.\n\nDistributional Semantics\nGuy Emerson and Ann Copestake. 2016. Functional Distributional\nSemantics. In Proceedings of the ACL 2016 Workshop on Representation\nLearning for NLP. Paper\n(pdf), Poster\n(pdf)\nGitHub repository\n\nGuy Emerson and Ann Copestake. 2017. Variational Inference for\nLogical Inference.* In Proceedings of the 2017 Conference on Logic\nand Machine Learning for Natural Language (LaML). Paper\n(pdf)\n\nGuy Emerson and Ann Copestake. 2017. Semantic Composition via\nProbabilistic Model Theory.* In Proceedings of the 12th\nInternational Conference on Computational Semantics (IWCS). Paper\n(pdf)\n\nGuy Emerson. 2018. Functional Distributional Semantics: Learning\nLinguistically Informed Representations from a Precisely Annotated\nCorpus.\nPhD Thesis, University of Cambridge.\n\nGuy Emerson. 2020. Autoencoding Pixies: Amortised Variational\nInference with Graph Convolutions for Functional Distributional\nSemantics. In Proceedings of the 58th Annual Meeting of the\nAssociation for Computational Linguistics.* Paper\n(pdf)\nGitLab repository\n\nEvaluating the Grammaticality of Social Media Text\nBaldwin, Timothy, Paul Cook, Marco Lui, Andrew MacKinlay and Li\nWang (2013) How Noisy Social Media Text, How Diffrnt Social Media\nSources?, In Proceedings of the 6th International Joint Conference\non Natural Language Processing (IJCNLP 2013), Nagoya, Japan, pp.\n356\u2014364. Paper (pdf).\n\nGeneration\nCahill, L., J. Carroll, R. Evans, D. Paiva, R. Power, D. Scott\nand K. van Deemter (2001) From RAGS to RICHES: exploiting the\npotential of a flexible generation architecture. In Proceedings of\nthe 39th Annual Meeting of the Association for Computational\nLinguistics, Toulouse, France, pp. 98-105. Paper\n(pdf)\n\nMatic Horvat and William Byrne. 2014. A Graph-Based Approach to\nString Regeneration. In Proceedings of the Student Research Workshop\nat the 14th Conference of the European Chapter of the Association\nfor Computational Linguistics (EACL), pages 85\u201495. Paper\n(pdf)\n\nMatic Horvat, Ann Copestake, and William Byrne. 2015. Hierarchical\nStatistical Semantic Realization for Minimal Recursion Semantics. In\nProceedings of the 11th International Conference on Computational\nSemantics (IWVS), pages 107\u2013117. Paper\n(pdf)\n\nEwa Muszy\u0144ska and Ann Copestake. 2017. Realization of long sentences\nusing chunking. In Proceedings of the 10th International Conference\non Natural Language Generation (INLG). Paper\n(pdf)\n\nValerie Hajdik, Jan Buys, Michael Wayne Goodman, and Emily M. Bender.\n2019. Neural Text Generation from Rich Semantic Representations.\nProceedings of the 2019 Conference of the North American Chapter of\nthe Association for Computational Linguistics: Human Language\nTechnologies (NAACL-HLT).\nPaper (pdf)\n\nGlossary Sentence Extraction\nReiplinger, Melanie, Sch\u00e4fer, Ulrich, & Wolska, Magdalena. (2012).\nExtracting glossary sentences from scholarly articles: A comparative\nevaluation of pattern bootstrapping and deep analysis. In\nProceedings of the ACL-2012 special workshop on rediscovering 50\nyears of discoveries (pp. 55\u201365). Jeju Island, Korea. Paper\n(pdf)\n\nGrammar Tutoring / Computer Assisted Language Learning\nSuppes, Patrick, Dan Flickinger, Elizabeth Macken, Jeanette Cook,\nand Tie Liang (2012) Description of the EPGY Stanford University\nOnline Courses for Mathematics and the Language Arts, in Proceedings\nof the International Society for Technology in Education, San Diego.\n\nHellan, L., Tore Bruland, Elias Aamot, Mads H. Sand\u00f8y: A Grammar\nSparrer for Norwegian. Proceedings of NoDaLiDa 2013. Paper\n(pdf)\nand Web app\n\nMorgado da Costa, Luis and Winder, Roger V P and Li, Shu Yun and\nLiang, Benedict Christopher Lin Tzer and Mackinnon, Joseph and Bond,\nFrancis (2020)\n\nAutomated Writing Support Using Deep Linguistic Parsers (in print).\nProceedings of the 12th Conference on Language Resources and Evaluation.\nEuropean Language Resources Association (ELRA). Marseille, France.\nLinguistic Exploration and Discovery\nBender, Emily M., Sumukh Ghodke, Timothy Baldwin and Rebecca\nDridan (2012) From Database to Treebank: On Enhancing Hypertext\nGrammars with Grammar Engineering and Treebank Search, In Nordhoff,\nSebastian (ed), Electronic Grammaticography, University of Hawai'i\nPress, Honolulu, USA, pp. 179\u2014206. Paper\n(pdf).\n\nMachine Translation\nOepen, Stephan, Velldal, Erik, L\u00f8nning, Jan Tore, Meurer, Paul,\nRos\u00e9n, Victoria, & Flickinger, Dan. (2007). Towards hybrid\nquality-oriented machine translation: On linguistics and\nprobabilities in MT. In Proceedings of 11th conference on\ntheoretical and methodological issues in machine translation (p. 144\n\u2013 153). Skvde, Sweden. Paper\n(pdf)\n\nMatic Horvat. 2017. Hierarchical statistical semantic translation\nand\nrealization.\nPhD thesis, University of Cambridge.\n\nMichael Wayne Goodman. 2018. Semantic Operations for Transfer-based\nMachine Translation.\nPhD thesis, University of Washington.\n\nMicroworld Interaction\nZinda, Eric. The 'Perplexity' Natural Language Prototype. InductorSoftware.com, 4 Aug, 2020, https://blog.inductorsoftware.com/blog/PerplexityOverview.\n\nMRS Alignment\nGlenn Slayden. 2013. Singular value decomposition (SVD) for MRS\nisomorphism. (unpublished) Paper\n(pdf)\n\nMultilingual Valency Dictionary\nHellan, L., D. Beermann, T. Bruland, M.E.K. Dakubu, and M.\nMarimon (2014) MultiVal: Towards a multilingual valence lexicon.\nLREC 2014. Paper\n(pdf)\nand\nDemo\n\nOntology Acquisition\nHerbelot, Aur\u00e9lie, & Copestake, Ann. (2006). Acquiring Ontological\nRelationships from Wikipedia Using RMRS. In Proceedings of the ISWC\n2006 workshop on web content. Paper\n(pdf)\n\nPOS Tagging\nNorwegian: http://regdili.hf.ntnu.no:8081/webtagger/tagger.\n\nQuestion Generation\nYao, Xuchen, Bouma, Gosse, & Zhang, Yi. (2012). Semantics-based\nquestion generation and implementation.* Dialogue & Discourse,\n3(2):11\u201342. Paper\n(pdf)\n\nRobot Control\nPackard, W. 2014. UW-MRS: Leveraging a Deep Grammar for Robotic\nSpatial Commands.* In Proceedings of SemEval-2014. Dublin, Ireland.\nPaper (pdf) and\nSubversion\nrepository.\n\nHristov, Y, S. Penkov, A. Lascarides and S. Ramamoorthy (2017)\nGrounding Symbols in Multimodal Instructions, Proceedings of the ACL\nworkshop on Language Grounding for Robotics, Vancouver, Canada.\nPaper\n(pdf)\n\nScope of Negation, Speculation, Hedges\nVelldal, Erik; \u00d8vrelid, Lilja; Read, Jonathon & Oepen, Stephan\n(2012). Speculation and Negation: Rules, Rankers, and the Role of\nSyntax.* Computational linguistics. 38(2):369-410. Paper\n(pdf)\n\nMacKinlay, Andrew, David Martinez and Timothy Baldwin (2012)\nDetecting modification of biomedical events using a deep parsing\napproach, BMC Medical Informatics and Decision Making.* 2012,\n12(Suppl 1):S4. Paper\n(pdf).\n\nPackard, W., Bender, E. M., Read, J., Oepen, S., & Dridan, R. 2014.\nSimple Negation Scope Resolution Through Deep Parsing: A Semantic\nSolution to a Semantic Problem.* In Proceedings of the 52nd Meeting\nof the Association for Computational Linguistics. Baltimore, MD.\nPaper (pdf) and\nWebsite.\n\nOlga Zamaraeva, Kristen Howell, and Adam Rhine. 2018. Improving\nFeature Extraction for Pathology Reports with Precise Negation Scope\nDetection. In Proceedings of the 27th International Conference on\nComputational Linguistics (COLING). Paper\n(pdf)\n\nSemantic Parsing\nStephan Oepen, Marco Kuhlmann, Yusuke Miyao, Daniel Zeman, Dan\nFlickinger, Jan Haji\u010d, Angelina Ivanova, and Yi Zhang. 2014. SemEval\n2014 Task 8: Broad-Coverage Semantic Dependency Parsing. Paper\n(pdf) Task\nWebsite\n\nStephan Oepen, Marco Kuhlmann, Yusuke Miyao, Daniel Zeman, Silvie\nCinkov\u00e1, Dan Flickinger, Jan Haji\u010d, and Zde\u0148ka Ure\u0161ov\u00e1. 2015.\nSemEval 2015 Task 18: Broad-Coverage Semantic Dependency Parsing.\nPaper (pdf) Task\nWebsite\n\nJan Buys and Phil Blunsom. 2017. Robust Incremental Neural Semantic\nGraph Parsing.* In Proceedings of the 55th Annual Meeting of the\nAssociation for Computational Linguistics. Paper\n(pdf) GitHub\nrepository\n\nSentiment Analysis\nKramer, Jared and Clara Gordon. 2014. Improvement of a Naive Bayes\nSentiment Classifier Using MRS-Based Features. Proceedings of\nStarsem 2014. Paper\n(pdf)\n\nSubstitution\nAur\u00e9lie Herbelot. 2009. Finding Word Substitutions Using a\nDistributional Similarity Baseline and Immediate Context Overlap. In\nProceedings of the Student Session of EACL. Paper\n(pdf)\n\nSummarisation\nYimai Fang, Haoyue Zhu, Ewa Muszy\u0144ska, Alexander Kuhnle, & Simone\nTeufel. A proposition-based abstractive summariser. In Proceedings\nof COLING 2016, the 26th International Conference on Computational\nLinguistics. Paper\n(pdf)\n\nTextual Entailment\nLien, Elisabeth & Kouylekov, Milen. (2015). Semantic parsing for\ntextual entailment.* In Proceedings of the 14th International\nConference on Parsing Technologies (p. 40\u201349). Bilbao, Spain. Paper\n(pdf)\n\nVisual Question Answering\nAlexander Kuhnle and Ann Copestake. 2017. ShapeWorld: A new test\nmethodology for multimodal language understanding. Paper\n(pdf)\n\nAlexander Kuhnle and Ann Copestake. 2017. Deep learning evaluation\nusing deep linguistic processing. Paper\n(pdf)\n\n", "title":"Applications", "teaser":"Background\nFollowing a discussion at the 2014 DELPH-IN Summit in Tomar, the purpose\nof this page is to collect links to work that uses DELPH-IN tools ...", "site":"DELPH-IN", "section":"DELPH-IN Docs", "categories":"", "tags":""}
, {"url": "https://delph-in.github.io/docs/home/OldProjects", "excerpt":"DELPH-IN Member Projects\nThis is a reverse chronological listing (by final year) of DELPH-IN\nmembers' projects on related topics. Funded projects show their funding\nsource as far as possible. Some links may no longer work, but are\npreserved here anyway as they may help indicate what to look up on the\nInternet Archive.\nAGGREGATION:\n2012\u20132015. UW. Investigating the automatic creation of\nMatrix-derived grammars on the basis of collections of interlinear\nglossed text. (Funding: NSF Documenting Endangered Languages grant)\n\nDeependance: 2012\u20132014. LT-Lab, DFKI\nThe aim of this project is to improve existing methodology for\ngeneric deep linguistic analysis, i.e. the syntactic and semantic\nanalysis needed for many language technology applications. A\ndependency grammar model will be developed that extends the\nrepresentations of successful data-driven dependency parsing schemes\nby additional elements of linguistic and cognitive sophistication\nsuch as a typed feature system, explicit soft constraints, the use\nof both semantic and syntactic dependencies and means for\nincrementally produced partial results. (Funding: BMBF contract\n01IW11003)\n\nDeveloping an MT System through Deep Language Processing: 2011\u20132013.\nKyunghee, NTU, UW. Work on developing the grammars to allow for\nsemantic-transfer based MT between English, Japanese and Korean\n(Funding: NRFK).\n\nRevealing Meaning Using Multiple Languages: 2010\u20132012. NTU, NICT.\nThis project looked at using one language to disambiguate the other\nin bitexts, using MRS-based transfer and wordnets to find\nequivalences. (Funding: JSPS, NTU, Erasmus)\n\nThe Grammar Matrix: Computational Linguistic\nTypology \u2014 2007\u20132012.\nUW. Develop the Grammar Matrix core grammar and customization system\nto support the development of new DELPH-IN style grammars. (Funding:\nNSF CAREER grant)\n\nAutomatically determining meaning by comparing a text to its\ntranslation: 2009-2011. NTU This project looked at ways of modeling\nmeaning across different languages. It was followed up by Revealing\nMeaning (Funding: NTU)\n\nOnline Linguistic Exploration: Deeper, Faster, Broader Language\nDocumentation \u2014 2009\u20132011. Melbourne. Development of means for\nfast-tracking language resource development, and visualising\nlanguage resources (incl. treebank search). (Funding: Australian\nResearch Council\n\nMultilingual Unsupervised Parse Selection: 2009\u20132010. Melbourne.\nExploration of unsupervised models for parse selection, targeted at\nlanguages without treebanks. (Funding: Microsoft Research)\n\nSciBorg:\nExtracting the Science from Scientific Publications 2005\u20132009\nCambridge. (Funding: EPSRC)\n\nInformation Delivery from Segmented Textual Data Streams: 2006\u20132008.\nMelbourne. Applications of NLP to web user forum analysis to improve\ninformation access, including through the use of supertagging and\nparsing. (Funding: Australian Research Council)\n\nUtterance-level interface for DELPH-IN: Cambridge. We looked at\nstandardisation of the text interface, allowing for markup and\nambiguity in tokenisation. (Funding: Boeing)\n\nScalable Japanese Analysis: 2006\u20132008 NTT, Melbourne Investigating\nmethods of deep lexical acquisition for Japanese. (Funding: NTT)\n\nHANDON: 2007. Oslo,\nBergen, CSLI. This was a follow up project to LOGON, investigating\nscalability. (Funding: NRC)\n\nIntegrating pragmatic insights with\nHPSG: 2006\u20132007\nCambridge. An exploration of theoretical and methodological issues,\nwith Marina Terkourafi (Funding: AHRC)\n\nTypology of Prepositions and their Semantic Equivalents: 2007. NTNU,\nNICT. Investigation into the representation of prepositions, with a\nview to implementation in the Norsource and Jacy grammars. (Funding:\nNRC)\n\nJaNoGram: Japanese and Norwegian Computational\nLinguistics: 2006. NTNU, NICT. Investigation into Japanese-Norwegian\nMT, using the transfer system developed in LOGON. (Funding: NTNU)\n\nLOGON: 2002\u20132006. Oslo, Bergen, NTNU. The\nconsortium developed a Norwegian to English machine translation\nsystem, based on a semantic transfer approach and using MRS and\nDELPH-IN technology for transfer and generation. (Funding: NRC)\n\nRobust Precise Japanese Parsing: 2005\u20132006 NTT, DFKI. Grammar\nengineering to increase the robustness of Jacy (Funding: NTT)\n\nScalable Deep Language Processing: 2005\u20132006 NTT, Melbourne\n.Investigating methods of deep lexical acquisition, particularly\nlooking at MWEs. (Funding: NTT)\n\nContrastive Study of Syntax and Semantics between Korean and\nJapanese and Feasibility of Porting and Cross-Development of\nGrammars between LFG/XLE and HPSG/LKB Frameworks: 2004\u20132006\nKyunghee, Waseda. (Funding: JSPS, NSFK)\n\nStochastic Parsing with Rich Grammars: 2004\u20132005 CSLI, NTT.\nDeveloping the original parse ranking models. (Funding: NTT)\n\nModeling politeness in a Greek HPSG: 2003\u20132004. Cambridge.\nIntegrating pragmatic insights with HPSG was a follow-on project to\nthis. (Funding: British Academy funded small research)\n\nDeep Thought: 2002\u20132004.\nSaarbr\u00fccken, NTNU (Norway), Sussex, Cambridge, CELI (Italy) and\nXtramind (Germany). Hybrid Deep and Shallow Methods for\nKnowledge-intensive Information Extraction. This project led to the\ndevelopment of [RmrsTop|Robust Minimal Recursion\nSemantics] and the [HogTop|Heart of Gold]. (Funding:\nEU)\n\nMultiword expressions: 2001\u20132004.\nCSLI, NTT. The aims of the project were to acquire and formally\nrepresent multiword expressions, including idioms, compound nouns,\nphrasal verbs and collocations. The results are incorporated into\nthe DELPH-IN work in a variety of ways. It led to a\nhttp://multiword.sourceforge.net/PHITE.php?sitesig=CONF of\nworkshops that are still continuing. (Funding: NTT; NSF)\n\nWhiteBoard:\n2000\u20132002. DFKI Saarbr\u00fccken. Basic research into architectures and\nmethodologies for the combination of \u2018deep\u2019 and \u2018shallow\u2019 approaches\nto natural language analysis; building an XML-based software\nenvironment for multi-layer linguistic annotation. (Funding: Federal\nMinistry of Education and Research, Germany)\n\nRelated Activities\nThis lists some of the many projects with similar goals, it is by no\nmeans a comprehensive list. Projects are listed in alphabetic order.\nThe Attribute Logic Engine\n(ALE), developed by Bob\nCarpenter and Gerald Penn since the early 1990s: one of the early\nwidespread computational tools (based on Prolog) for the\ndevelopment of typed feature structure grammars and still in active\nuse in several research efforts.\n\nThe Algorithms for Linguistic Processing\n(ALPINO) project at\nGroningen University (The Netherlands): building a development and\nprocessing environment for HPSG implementations, a comprehensive\ngrammar of Dutch, a dependency treebank (of Dutch newspaper text),\nand related technology.\n\nThe Core Grammar Project\n(CoreGram) is a\nmultilingual grammar engineering project that develops HPSG grammars\nfor several typologically diverse languages that share a common\ncore. The system is open-source and can be downloaded as a bootable\nCD Rom with the grammar development system, the test environment and\ngrammars for German, Chinese, Danish, Maltese and Persian.\n\nThe MiLCA project, involving\nT\u00fcbingen (Germany), Ohio State (US), and Toronto (Canada)\nUniversities, among others: developing an extension to ALE (see\nabove) as a development environment for HPSG grammars using \u2018rich\u2019\nconstraints and porting the LinGO ERG into this formalism; focusing\non linguistic adequacy more than on processing efficiency.\n\nThe Natural Language Theory and Technology\n(NLTT) group at the Palo\nAlto Research Center (PARC) and associated partners: working within\nthe LFG framework but in several ways similar to DELPH-IN;\ndeveloping the XLE grammar development and processing software and,\nin the Parallel Grammar (ParGram) project, implementing\ngrammars of several languages; NLTT and ParGram\nresources are not publicly available, though.\n\nThe Robust Accurate Statistical Parsing\n(RASP) project at\nCambridge and Sussex Universities (UK): integrating and extending\nseveral strands of research on robust statistical parsing and\nautomated grammar and lexicon induction, in order to develop and\ndistribute a new, parsing toolkit for English.\n\n", "title":"Archive", "teaser":"DELPH-IN Member Projects\nThis is a reverse chronological listing (by final year) of DELPH-IN\nmembers' projects on related topics. Funded projects show ...", "site":"DELPH-IN", "section":"Projects", "categories":"", "tags":""}
@@ -606,7 +606,7 @@
, {"url": "https://delph-in.github.io/docs/summits/SuquamishLexSem", "excerpt":"Lexical semantics discussion notes\nFrancis: Who sees the potential use for lex sem in a system?\nRebecca: For QA (fuzzy predicate matching) Yi: In Chinese grammars not\nenough syntactic info for disambiguation Francis: Likewise in Japanese\n-- currently have some controversial rules that the syntax can't\ndisambiguate Woodley: QA Glenn: thai-language.com MT Emily: Add to ANC\nto increase appeal to broader IJCAI/AAAI community Francis: MASC is\nbeing annotated by Princeton for WordNet Mike: Generation\nand paraphrasing; Prescott would likely also be interested for\nsummarization. Justin: Have a strong feeling that lexical information\nimpacts syntax. Stephan: Back in the MT days it seemed like it would\nhave been useful to have predicates in a hierarchy, but that became less\nurgent with work on learning transfer correspondences. But also\ngenerally think we should know something in this space.\nFrancis: Shared synsets across languages -> can train a\ndisambiguation model on Spanish tagged data and use it to do WSD on\nJapanese. The fact that dogs bark is not necessarily just a fact about\nEnglish.\nStephan: Aware of some unhappiness with the definition of the task, if\nconceived of as resolving to English WN senses. OntoNotes\ncomes with a small upper model.\nFrancis: Philosophy of OntoNotes was to generalize up the\nhierarchy until they could get to 90% IAA. Generally, the level of\ngranularity in any lex resource is inconsistence and for WN has been\nviewed as too fine-grained. Hierarchy allows for some generalization,\nbut also looking to something more coarse grained could be good. SUMO\n(de facto IEEE standard, top parts of WN and some other things).\nFrancis: Would be good to have a flexible framework allowing us to use\nmultiple ontologies, but in the short term will I will be working with\nWN. Level of granularity is an issue analogous to comparing deep v.\nshallow parsing. We estimated we needed 2000 for verb disambiguation,\n20-30,000 for noun disambiguation.\nGlenn: Advantage of WN is active development work on it. But: complaint\nhas been too many overlapping senses at any given level; just going up\nthe hierarchy doesn't necessarily help.\nStephan: How much hierarchy is there in FrameNet?\nFrancis: WN doesn't have everything, doesn't have selectional\nrestrictions on verbs. I think we'll want to learn that from a corpus\nand then store it somewhere separately. Other things as well like\nVerbNet. We'll often get a gain (for disambiguation and\ngeneration) by knowing semantic class of arguments preferred by verbs.\nMappings between FrameNet, VerbNet,\nWordNet can help.\nStephan/Yi: Sergio Roa has worked on mapping to ERG predicates, a couple\nof years ago.\nGlenn: What about Cyc?\nFrancis: Yes, Cyc is a contender. One level further on from lex\nsemantics, more like frames. Slightly bigger step, maybe not ready to\ntake it yet, but could be an interesting task. E.g.,: \"Water will spill\nif you turn a glass upside down.\" But also \"A dog is an animal\".\nExperiments on predicting countability of English nouns did as well as\n(slightly better than?) WN.\nGlenn: License is Apache.\nFrancis: Also lot of work on bio-specific hierarchies.\nFrancis: Summary so far. We have a notion of why this could be useful.\nFor QA and paraphrasing ISA hierarchy is what you want. One reason WSD\nhas been found unsatisfying is tendency to look at only single word\nentries, but 50% of the entries are MWEs, and that part has a lot of\ndiscriminating power. Advantage for us because of our model of MWEs.\nStephan: That's an argument of operating at the level of MRSs, where we\nhave already reprsented the MWEs as single things.\nFrancis: Yes.\nRebecca: Not using MRS for parse selection at this point.\nEmily: Feasible to project MRS info back onto trees?\nRebecca: Would prefer reranking which uses MRS information as first pass\napproach.\nYi: Master's student compared to syntactic parse selection and didn't\nsee big gain from using MRS, except maybe some domain-portability\nimprovement. But that was without lex sem.\nStephan: Woodley recently tried some MRS derived features and found some\ngains, but it's not been a silver bullet.\nFrancis: Baldridge et al also found some gain, but better to build\nseparate syn and sem models and combine them, rather than building on\nmodel. We found some gains, but only if we were using the type\nhierarchy. Only looked at Japanese for that one, where the grammar is\nless syntactically constrained than the ERG. (Based on Oracle WSD\nresults.) Tim and Egirre have also found gains, using automatically\ndisambiguated senses.\nEmily: Backing up to the controversy, just because we want to take\nadvantage of MWEs doesn't mean we have to work at the level of MRS. Can\nambiguate at the level of the MWE entries. (Except maybe true idioms,\nbut would speculate that those only have one idiomatic sense.)\nFrancis: Not ready to accept that speculation without checking.\nDan: PET doesn't yet handle the idiom machinery.\nStephan: Could see how many of the multiword WN entries could be\naccommodated early on in the lexicon.\nDan: Ann's position on noun-noun compounds is that they are deceptive in\nlooking like a completely productive process in English when in fact\nthey are are not. There are lots of unattested noun-noun compounds that\nare surprising. She assumes a long list of noun-noun subregularities ---\nsemiregular patterns constrained by semantic sorts etc. A good lexicon\nwould provide a characterization of those subregularities that are not\nfully productive. ERG contains none of that insight allowing almost any\nnoun-noun combinations.\nStephan: We don't currently have the machinery (additional technical\ndevices) which would support this.\nStephan: Not only NN, also A-N combinations (strong tea, strong drink,\ntall building, tall person, high building, *high person [different\nsense]).\nDan: Collocation constraints are very clear to speakers, but not clear\nhow we would or should encode them.\nFrancis: Science would advance if looked at how many of the noun\ncompounds can be handled with simple constraints.\nDan: Example of constrained NN compounds: \"doctor's office\", \"dentist's\nchair\". The generalization seems to be that if the left member of the\ncompound (human?) than you can do it. Also: *doctor office *men room.\nEmily: Other classes of NN compounds don't have a morphological mark,\nbut do have characteristic semantic relationship between the parts.\nFrancis: Another example is in matching numeral classifiers to nouns.\nBut need synecdote: \"three person-CL of Microsoft\" DFKI\u304c\u4e09\u4eba\u6765\u307e\u3057\u305f\u3002\nFrancis: Was completely convinced that we can't do it as restrictions on\nsorts. Something like \"machine translation\" where there is a single node\nfor that in WN would like to be able to map to that as a node. \"Gaurd\ndog\" is a \"dog\", \"dog\" is a \"dog\". Putting in things like compounds\ndoesn't necessarily pack as easily.\nEmily: \"machine translation\" as a single node shouldn't block the\ncompositional reading (with a different sense of translation ---\ntranslating the machines). So maybe that one we'd need to ambiguate from\nthe beginning.\nStephan: What is the external distributional difference?\nDan: \"machine translation of books\" but not \"machine translation of that\nENIAC\"\nFrancis: If we accept paraphrase as a test, \"translation by machine\" and\n\"translation of machines\".\nStephan/Emily: That's not a syntactic test.\nFrancis: Still useful as a test to determine what should be in the\nsemantics.\nStephan: Back to question of whether to ambiguate early. It's entrenched\nin our technology not to use the semantic features while constructing\nthe forest. Further postpone construction of the actual MRS until we're\ndone unpacking, because final feature structure is needed for that. So\nthere should be strong arguments for taking the ambiguate early\nposition.\nFrancis: If we don't need it along the way, then doing it at the end\nmakes more sense.\nEmily: One place it could be used along the way is in chart pruning/best\nfirst parsing.\nFrancis: And incremental parsers might also want it.\nEmily: [Disclaimer: Not necessarily an advocate for this position.]\nAnother possible objection is the linguistic notion that the lexicon\nshould be a single holistic thing. Two separate lists of lexical entries\nwould need to maintain their alignment with each other. Also, some\nthings would be in one but not the other (e.g., \"machine translation\").\nStephan: Proposal is that the lexicon distinguishes between syntactic\nand semantic information. Same as the one that parsing with ambiguity\npacking makes. Would be possible at least that some entries have an\nempty syntactic part (e.g., \"machine translation\" the collocation).\nParallel to derivational morphology.\nFrancis: Would like to believe that the bulk of the mapping can be done\nlargely automatically. Some might need to be done by hand, e.g., because\nthe internal structure of MWEs is not represented in\nWordNet. Will require some effort to build, but then will be\nstored, and updated (somehow) as one or both changes.\nEmily: Some things in one but not the other begins to sound like\nmotivation for two separate lists anyway.\nFrancis/Stephan: Link is from dog lexical entry to one node in WN, could\nbe stored in lex entry if we wanted.\nWoodley/Francis: But actually the word node in WN will collapse\ndistinctions that the ERG makes and can't say that ERG _dog_n_rel has\nall of those meanings linked to the dog word node. Even in the noun\nspace, we might have subcat information that will partition the WN sense\nspace, and it is an interesting research question whether we can get at\nthat from the semantic hierarchy (e.g., relational nouns do one thing).\nFrancis: This is one of the reasons we didn't do this 10 years ago ---\nnot just an engineering problem.\nLaurie: But these issues may be informed by the practicality of trying\nto make this generalizeable and not chained to WordNet.\nWoodley: I agree. It's going to be a complicated mapping, and\nWordNet might not stay so attractive.\nFrancis: OTOH, can't really do the experimentation without a mapping.\nWordNet appears like it will at least be maintained in five\nyears' time. There will be a cost for adding any new lex resource, the\nmore generic the mapping, the less we can make that cost, but...\nDan: Doesn't have to be a change in the original grammar source file.\nCould well have core.smi and core.wn.semi, where core.smi is as\ncurrently, core.wn.smi is a mapping from ERG to WN, could have separate\nmappings for other resources like core.cyc.smi... Those should be\npartially automatically constructed to the extent possible, while also\nallowing for hand-work.\nWoodley/Dan: May turn into a more general MRS to MRS mapping task\n(transfer rules) that takes advantage of context.\nEmily: Still need lexical resource of some sort (even if only a set of\ntransfer rules) and there could be multiple versions of these for\ndifferent external lex semantic resources.\nStephan: Compatible with the view that the grammar provides all the\ninformation that is constrained by the syntax.\nDan: predicates in the ERG are publicly defined hooks that can be used\nto go get more information out of lex sem resources.\nFrancis: I have a feeling of a general shared consensus that we look for\nthe post-semi mapping to WN using the transfer machinery or some other\nnew machinery. Possibly there will be some fix up on both sides as I\nstart working on this mapping.\n", "title":"Lexical Semantics", "teaser":"Lexical semantics discussion notes\nFrancis: Who sees the potential use for lex sem in a system?\nRebecca: For QA (fuzzy predicate matching) Yi: In Chin ...", "site":"DELPH-IN", "section":"Suquamish 2011", "categories":"", "tags":""}
, {"url": "https://delph-in.github.io/docs/summits/BirdsofaFeather2011", "excerpt":"Background\nThe Penn Treebank was a game-changing resource because of the kind of\nfeature extraction (including parser-based) that it enabled. In opening\nup new areas of NLP research, it has also opened up new horizons: those\napplications that are now imaginable but beyond the reach of current\ntechnology. We propose to extend that reach by creating an annotated\ndata source that is much larger, more diverse in genre, and more deeply\nand consistently annotated than what is currently available. In\nparticular, we plan to (mostly automatically) annotate the entire Open\nAmerican National Corpus (16 million words) with syntactic and semantic\nrepresentations produced by the English Resource Grammar (Flickinger\n2000). This will also include the Manually Annotated Sub-Corpus, such\nthat our annotations (in this case all manually verified) will be\ninteroperable (through GrAF) with other annotations being produced over\nthose 90,000 words.\nJune 2011 meeting\nWe plan to apply for NSF (CRI) funding for this effort. As part of the\npreparation for that proposal, we are organizing a \u201cBirds of a Feather\u201d\nmeeting in Portland OR on June 19, 2011. The goal of this meeting will\nbe to gather input from the community on how the proposed resource could\nbe used to further NLP research. This input will also allow us to shape\nthe resource so that it is maximally useful.\nThe meeting will be informal, and consist primarily of discussions. We\nare interested to learn from participants about the following:\nQuestions\nWhen have syntactic and semantic features not panned out in\nexperiments you\u2019ve done? What were the applications you were\ntargeting? What genres of text? What kind of features?\n\nWhat applications or tasks have you thought about but held back from\nbecause of insufficiently precise/deep linguistic feature\nextraction?\n\nWhat other kinds of applications or tasks would you like to work on,\nif only there were richer data sources over which to train feature\nextractors?\n\nAgenda\n[Tentative schedule]\n| | |\n|-------------|-----------------------------------------------------------------------------------------|\n| 10:30-10:35 | Go grab some coffee |\n| 10:35-10:45 | Welcome & Intro (Emily and Dan) |\n| 10:45-12:30 | Participant presentations (5-10 min each, addressing the questions above) |\n| | Tracy King |\n| | James Curran |\n| | Eva Haji\u010dov\u00e1 |\n| | Chris Callison-Burch |\n| | Sameer Pradhan |\n| | Julia Hockenmeier |\n| | Francis Bond |\n| | Fei Xia |\n| | Mark Steedman |\n| 12:30-1:30 | Lunch (on your own) |\n| 1:30-2:00 | Presentation of proposed annotation project |\n| 2:00-3:30 | Small group brain-storming |\n| 3:30-4:00 | Coffee break |\n| 4:00-5:00 | Small group brain-storming |\n| 5:00-5:30 | Report-back and wrap-up |\nSample Annotations\nWe are providing sample annotations for the following eight sentences,\nas a starting point for the discussion.\nGuide to the\nannotations\n\nSimple tough-adjective sentences:\nOriginal copies are very hard to\nfind.\n\nShe is easy to get along\nwith.\n(Gap is inside PP complement.)\n\n\ntough-adjective sentences, non-gapped variant.\nIt is very hard to find original\ncopies.\n\nIt is easy to get along with\nher.\n\n\nLonger sentence with coordination and tough-adjective:\nContact lenses come in small, light packages that are easy to\nship through the mail and they require frequent replacement by\nthe\nuser.\n\nContact lenses come in small, light packages that are easy to\nship through the\nmail.\n(Shortened variant.)\n\n\nExamples highlight scope of negation with respect to auxiliaries:\nWikipedia articles must not contain original\nresearch.\n\nWikipedia articles can not contain original\nresearch.\n\n\nAll annotations + guide in one\nfile.\n\nDiscussion summary\nPlease visit the\nBirdsofaFeather2011Summary page.\n", "title":"Birds of a Feather", "teaser":"Background\nThe Penn Treebank was a game-changing resource because of the kind of\nfeature extraction (including parser-based) that it enabled. In openi ...", "site":"DELPH-IN", "section":"Suquamish 2011", "categories":"", "tags":""}
, {"url": "https://delph-in.github.io/docs/summits/BirdsofaFeather2011Summary", "excerpt":"This page contains a summary of the discussion of the Birds of a\nFeather meeting held at the 2011 ACL on June 19,\n2011. We are grateful to the participants for their valuable input.\nMain points\nMake something that will be useful independent from HPSG.\n\nPlan for uses we have no inkling of now.\n\nProvide as much information as possible ...\n\n... while making it easy to get at only the part of it someone\ncares about.\n\nPossible uses\nTraining data for existing tools, including statistical parsers\n(constituent structure or dependency), pos taggers, and anything\nelse expecting PTB-style inputs.\n\nTraining data for generation systems, including filters on MT\noutput to improve fluency.\n\nEntity resolution (very important in industry currently)\n\nCross-framework evaluations\n\nLinguistic exploration/Treebank search (Godhke and Bird 2010)\n\nOntology extraction\n\nCommunity uptake will be motivated by the sheer size of the dataset, but\nwill depend on its accessibility. Provide scripts to create views on the\ndata that make it as familiar as possible, so as to provide a bridge to\nusing the more complete information. User to keep in mind: Graduate\nstudent exploring possible resources to use in a new project.\nCorpus fundamentals\nPreserve all available meta-data about documents\n\nAnnotations ground out in character off-sets (?? byte off-sets),\neven if we also provide one or more tokenizations as first-class\nobjects.\n\nConsider including the English side of parallel texts within the\ncorpora to annotate.\n\nConsider including WSJ 1987 for direct comparability\n\nUnique item IDs across the whole corpus\n\nOutput formats\nIf we don't create the mapping for our representations to the current\nde-facto standards, then others will, redundantly and most likely less\naccurately, as they would lack complete understanding of the inputs.\nCreate a library of scripts to map to at least:\nPTB (look at OntoNotes improvements, but also current\nstandard)\n\nCoNLL dependencies\n\nPropBank\n\nin at least two ways each:\nSuperficial form\ndependencies: format of triples, labels of dependency types\n\nphrase structure: tokenization, label set\n\n\nClosest possible match\ndependencies: put back semantically empty words, match direction\nof dependency, break up MWE rels (_get_along -> get along)\n\nphrase structure: put in traces, move punctuation attachment\n\n\n\"core dependencies\": no semantically empty words, but in a format\nthat can be used for evaluation of something trained on closest\npossible match view.\n\nDo this first, possibly on WikiWoods/WSJ data, to learn what\ninformation might be needed from human annotators before we being the\nhand-annotation process.\nIf we provide multiple trees for some or all sentences, consider forest\nrepresentation. Unpacking tools can be expensive to write, so if this is\ntoo difficult, likely won't get up-take.\nResource documentation\nThe interpretation of the annotations (especially in our \"native\" output\nformats) needs to be accessible without digesting the entire ERG.\nDependency labels (consider renaming to avoid confusion with\nPropBank)\n\nTokenization\n\nNature of MRS (is it semantics?); make clear that e.g., tense\ninformation is morphological tense information.\n\nThe information we do have about lexical semantics and semantic\nroles (e.g., encoding of causative/inchoative alternation)\n\nWhich views include which information (e.g., if scope of negation\ncan only reliably be read off of MRS/dependencies, not phrase\nstructure trees)\n\nInclude information on mapping from one level of representation to the\nother (cf. Hindi/Urdu treebank project).\nAnnotation quality assurance\nQuality of annotation depends on the usability of the tool, and the\nextent to which it makes it easy for annotators to maintain consistency.\nIn addition, the project will need to set up on-going QA procedures to\nmake sure annotators don't drift away from guidelines.\nConsistency of both annotator decisions and grammar writer decisions are\nimportant. (Cf. examples of group of noun v. name of noun and\ntoday vs. day after tomorrow.)\nSpecific general suggestions:\nDon't have annotators apply heuristics to handle unresolveable\nambiguity. Have them only narrow the parse forest as far as they\ncan, then apply heuristics progammatically. If there is remaining\nambiguity, return to annotators and/or refine script. Provide the\ndata in both fully disambiguated and original formats, and preserve\nmetadata about which decisions were the result of heuristics.\n(Additional benefit: Can change our minds about the heuristics and\nrerun.)\n\nWhere the guidelines explain particular choices, give tests for each\noption (no default case, or it will be applied indiscriminately).\n\nDo some inter-annotator agreement experiments, but don't do\neverything as dual annotation. (At least dual annotation for\nstandard test section though.)\n\nHave senior annotators check every nth sentence for on-going QA.\n\nFollow a construction-focused annotation strategy, allowing\nannotators to concentrate on particular issues rather than having to\nhold the entire system in memory for each sentence. (Risk: Failing\nto handle all constructions. This risk is mitigated by general\nRedwoods strategy, in that we can tell when we're done\ndisambiguating.)\n\nHave annotators focus on semantics and make sure it's correct, as\nit's more important than the syntax.\n\nIdentify problematic constructions (from existing knowledge, studies\nof IAA, etc) such as NPIs and verify annotations on examples\nincluding these\n\nWork to counter grammar bias, especially in terms of items that have\nspanning parses, but no correct spanning parse.\n\nProvide a mechanism for the user community to submit corrections to\nthe annotations, which are then bundled into named update releases.\n\nSpecific tool suggestions:\nDetect inconsistencies automatically and flag for annotator review.\n\nSupport construction-focused annotation strategy:\nAbility to find relevant examples to work on\n\nDisplay of related examples for each decision\n\n\nAllow annotators to make comments on particular decisions, for\nreview.\n\nMake preceding and following context obvious (un-ignorable) to\nannotators, even if we didn't parse preceding or following sentence.\n\nDon't have the parse selection model used to find the 500\ncandidates be trained on anything with heuristics applied.\n\nAbility to go selectively into the parse forest\n\nShow positive discriminants that the parse selection model chose for\nannotator verification\n\nThings to consider adding to annotation\nFlags for grammaticality and style (e.g., okay only as twitter)\n\nCoref chains\n\nNamed entity tags, especially structured ones: <org>University\nof <loc>Syndey</loc></org>\n\nInformation structure\n\nQuantifier scope resolution (where it matters, and where it can be\ndetermined in context)\n\nWhatever is needed to make scripts producing different views work.\n\nFurther specification, despite grammar's theoretical stance on\nunderspecification, when we can have a human do it.\n\nSemantic role labels, including more information about adjuncts\n(parse their data and try to find a mapping?)\n\nLexical semantics (e.g., WordNet synset) (do we get this\nthrough MASC, for at least some?)\n\nNothing: quantity is more important than detail (but cf. Francis's\nobjection)\nConsider which additional details are done most efficiently in\ninitial annotation pass, versus which can be done later as\nannotation overlays.\n\n\nThings already there in the annotation that will be a win\nScope of scopal modifiers (including negation)\n\nInformation that is present in the MRS but not morphologically\nmarked in English (e.g., number on ARG1 of adjectives) could be\nuseful for MT.\n\nConsistent PoS tags\n\nMRS, more abstract than syntax, better for applications like QA\n\nHeads always clearly marked\n\nAll proper nouns marked as such (make sure this is in all views, not\njust MRS-derived ones)\n\nInformation about temporals\n\nHow to handle inputs without (correct) spanning parses\nInclude metadata indicating that the parse was robust (and any\navailable information about the actual grammaticality): important\nfor generation uses.\n\nHave annotators disambiguate full structure of internal pieces\n(e.g., NPs).\n\nCover missing sentences by putting in bland rules, cataloging what's\nmissing in the process.\n\n", "title":"Birds of a Feather Summary", "teaser":"This page contains a summary of the discussion of the Birds of a\nFeather meeting held at the 2011 ACL on June 19,\n2011. We are grateful to the partici ...", "site":"DELPH-IN", "section":"Suquamish 2011", "categories":"", "tags":""}
-, {"url": "https://delph-in.github.io/docs/summits/StandingCommitteeGroup", "excerpt":"These are the members of the DELPH-IN Standing Committee.\nEmily Bender\n\nFrancis Bond\n\nJohn Carroll\n\nGuy Emerson\n\nDan Flickinger\n\nLu\u00eds Morgado da Costa\n\nStephan Oepen\n\nOlga Zamaraeva\n\n", "title":"Standing Committee Group", "teaser":"These are the members of the DELPH-IN Standing Committee.\nEmily Bender\n\nFrancis Bond\n\nJohn Carroll\n\nGuy Emerson\n\nDan Flickinger\n\nLu\u00eds Morgado da Costa ...", "site":"DELPH-IN", "section":"Suquamish 2011", "categories":"", "tags":""}
+, {"url": "https://delph-in.github.io/docs/summits/StandingCommitteeGroup", "excerpt":"These are the members of the DELPH-IN Standing Committee.\nEmily Bender\n\nFrancis Bond\n\nJohn Carroll\n\nGuy Emerson\n\nDan Flickinger\n\nLu\u00eds Morgado da Costa\n\nStephan Oepen\n\nAlexandre Rademaker\n\nOlga Zamaraeva\n\n", "title":"Standing Committee Group", "teaser":"These are the members of the DELPH-IN Standing Committee.\nEmily Bender\n\nFrancis Bond\n\nJohn Carroll\n\nGuy Emerson\n\nDan Flickinger\n\nLu\u00eds Morgado da Costa ...", "site":"DELPH-IN", "section":"Suquamish 2011", "categories":"", "tags":""}
, {"url": "https://delph-in.github.io/docs/summits/ChartMappingAppliedNotes", "excerpt":"Chart Mapping Applied\nProsodic structures and temporal constraints\nKatya: would like to integrate gesture and prosodic information in HPSG\n(put prosodic objects/Ewan Klein's metrical trees in XML via PET input\nchart into PET)\nDesignated Terminal Elements (DTE)\nExample \"He mixes mud\" [with gesture]\nUpdate: there is now a stylesheet that converts Anvil XML to PET's FSC\nformat, speech tokens with associated gestures are identified by means\nof timestamp overlap and enriched with gesture information (part of\nHeart of Gold's XSLT stylesheet collection:\nanvil_gesture2fsc.xsl)\nReducing parser search space\nBrackets mapping\nJohan Benum Evensberget (Oslo) has started experiments in Saarbr\u00fccken\nwith robustness rules that include bracket information\nbrackets should be implemented as tokens, not features\n\nDan wants to look at Johans approach and help with smooth ERG\nintegration (naming conventions etc.)\n\nUli tests with ACLA corpus\n\nAnn: look at Jurafsky ACL 2010: Profiting from Mark-Up: Hyper-Text\nAnnotations for Guided\nParsing\nIntegration of external resources\nMorphology:\nMontse wants to move from SPPP to FSC (motivation: also integrate\nchunker information)\n\nPeter, Stephan: should be possible with the current system, once LKB\nprovides support for FSC.\n\nGoal: get rid of legacy input modes (PIC, SMAF), see\nPetRoadMap\nAnn wants to look into SMAF code and give an estimation on the amount of\neffort to migrate to FSC\n", "title":"Chart Mapping Applied Notes", "teaser":"Chart Mapping Applied\nProsodic structures and temporal constraints\nKatya: would like to integrate gesture and prosodic information in HPSG\n(put prosod ...", "site":"DELPH-IN", "section":"Suquamish 2011", "categories":"", "tags":""}
, {"url": "https://delph-in.github.io/docs/summits/DocumentationParty", "excerpt":"Morphological analyzer notes\nExisting documentation:\nLkbSppp\n\nFreeLing SPPP README\n\nCLARIN paper\n\nChartMapping\n\nWhat's SPPP? In the same space as chart mapping, may become redundant.\nPredates chart mapping. Might also overlap with REPP, supported in LKB\nand soon in PET.\nSend question to Rebecca: Will SPPP be part of extended support for PET?\n\n[oe, 15-jul-11] SPPP is unrelated to chart mapping. It is rather yet\nanother way of feeding partially annotated token lattices into the\nparser; by and large, SPPP is an XML rendering of the good old YY\nformat. SPPP currently is only supported in the LKB; currently there are\nno plans for supporting it in PET. Rather, FSC should probably be\naugmented (to support annotation of token edges with mandatory\napplications of orhtographemic rules; see my email to 'developers' of\ntoday) and also be implemented in the LKB (to replace SMAF; this should\nnot be too hard, but Ann or oe would seem the two most viable candidates\nto actually do the implementation).\nCurrent REPP processing does damage for English to the input text\nbecause TNT requires punctuation stripped. That's lossy --- throwing\nspaces around a hyphen etc. Doesn't arise in terms of generation.\nERG generation -- some lisp code at the end provides some patching up\nlike sentence-initial capitalization.\nAsk Montse about generation and also the question on\nChartMappingAppliedNotes from Paris meeting.\nMontse's reply: SRG not currently used for generation but\nFreeLing is bidirectional. Regarding the question on\nChartMappingAppliedNotes:\n\"Actually I had several reasons:\nto follow the same approach as the other systems, I think I was the\nonly one using SPPP.\n\nto keep FL and SRG as two independent tools, though, we've already\nmanaged to do that with SPPP.\n\nto integrate chunks into the SRG, that is, just as we translate PoS\nchunks into Feature Structures, I want to translate (some) chunk\nmark-ups into feature structures. Though this may be also done with\nSPPP, not sure.\n\nYes, I still want to integrate chunks. As for the way to do it... I'd\nrather follow the most efficient strategy, so I'd be happy to change the\nstrategy if it is worth.\"\nWhat about Jacy? Chasen on the way out? BURGER very large fully\ninflected form dictionary\nChart mapping is fully supported in PET and planned for the LKB. But\nmostly for robustness over real phenomena real corpora. Other use is\npassing along morphological ambiguity to the parser. Montse could want\nthis too in the LKB for Spanish. (por tanto] tiempo] v. [por [tanto\ntiempo)\nTime involved in chart mapping is mostly in the rules to create more or\nfewer tokens.\nNo chart mapping in the LKB yet, so that takes us back to SPPP as the\nrecommended connection in the parsing direction. Nothing in the\ngeneration direction yet.\nNo one in DELPH-IN currently going through a morphological\nanalyzer/generator on the way out, but this is of interest to the Matrix\ngroup so we can continue to claim that morphophonology does not have to\nbe handled within the Matrix-based grammar.\nPosssible MA/MS project:\nHook up existing reversible morphophonological analyzer to existing\ngrammar in the generation direction\n\nDo this in a way that it can be added to the customization system as\nan option.\n\nMontse/Luis FreeLing might be good beta testers\nOpenFST --- should be reversible SPRouT --- reversible?\n", "title":"Documentation Party", "teaser":"Morphological analyzer notes\nExisting documentation:\nLkbSppp\n\nFreeLing SPPP README\n\nCLARIN paper\n\nChartMapping\n\nWhat's SPPP? In the same space as char ...", "site":"DELPH-IN", "section":"Suquamish 2011", "categories":"", "tags":""}
, {"url": "https://delph-in.github.io/docs/summits/SlavicMatrix", "excerpt":"This is a page about the Slavic Matrix developed in Saarbruecken and\nSofia.\nHere are the notes from the Subgroup activity taking place at the\nSuquamish delph-in summit:\nVarya's grammar: phenomena to be added soon. Yi: what has been done on\nyour side? What are your ideas... Varya: quesiton on embedded clauses,\nand main interrogatives. It's small (70 items lexicon), we also cover\nnegation. Those were the three things you're interested in. embedded\nclauses: complements of \"think\" or \"ask\". Yi: Case? Varya: Genitive\nnegation is not there yet Yi: Tania would like a more thorough\ninvestigation to the phenomenon. Tania: Tense and aspect in Slavic\nlanguages: commonalities, but there are also commonalities. Yi: Of\ncourse the aspect: general Slavic is important, there must be decent\ncoverage of individual languages, so that we can do treebanking Emily:\ncan we do a workflow where this is marked? Pan Slavic considered or not?\nYi: Name space concept on types? Needn't be adaptation of formalism: can\nbe a convention of prefixes in names...from our side: this is only part\nof the hierarchy, it is hard to keep track Dan: the name space idea is\nappealing to me too: virtue of file organization: relatively easy to\nmanage, easy to maintain: problem: how do you decide when to move AND no\nlonger present as soon is loaded in LKB, suffix better than prefix\nEmily: ISO code also has family codes Dan: you'd need a hierarchy for\ncross-classification? Emily: bigger question: code sharing between\nlanguages smaller than entire family: sub-families? Antske: Should be\npossible with the metagrammar engineering: automatic suffix adding\nshould be easy enough: could capture sub-family properties Emily:\nrealize that it can be done as well as grammar is already advanced:\nstarting with big chunks, than back out parts Yi: compatible with\nTania's work way: try out then decide...\n.....\nDan: possible problem: what will Petya think? Is it worth-while:\nadditional research question and brittle method being\ninvolved...methodology training... Emily: Can be done only at SB-side,\nthen just porting slavic.tdl: would mean less feedback from Bulgarian.\nEmily: separate set of questions: joint test suites. Test-suite is\nrather small... Yi: Do we have a larger test-suite? Tania: we do have\nthe idea to get a joint test-suite: we need to get morpho-syntactic\ntest-suites, we have one for Polish, Petya works on Bulgarian, and we\nneed this too. We'd like it parallel between Slavic languages, we don't\nhave it at the moment. We can talk to Varya... Yi: How about getting\nTreebanks? The little Prince Emily: there is some appeal, but Francis\nschooled us on license issues. Varya: 13 chapters annotated for\ninformation structure and tense and aspect. Tania: but not parsed?\nEmily: I told them no phrase-structure annotations, because the grammars\nwill do that. Yi: Collaboration with Moscow people who gave us a very\nlarge dependency treebank. Joshua: there is a three letter code for\nslavic languages Yi: underscore or hyphen... Dan: I suggest using\nhyphens everywhere, or at least do underscores everywhere...has the\nmeeting taken place?\nTania: it will be in summer Emily: can we make additions? Tania: yes\nEmily: should we use a shared repository? Yi: we'd like to keep hosting\nit in sb, it is already been shared with Sofia Tania: is little prince a\nfocus? Are there special phenomena of interest? Emily: useful for\ninformation structure annotations which we are interesting in. What\nphenomena? Varya + Songhoun: First person narrator, lot of vocatives\nTania: additional task: get vocabulary for little prince Yi: work on\nautomatic acquisition Tania: but not necessarily that of the little\nprince... Emily: we would need to get the vocab together, but not just\nfocus on this text Tania: Preferable not a translation Dan: Can you look\nfor a short story, not too long easy narrative, easy, ideally one that\nhas correspondence in other Slavic languages. Tania: Parallel corpora\nwould be great Dan: Parallel corpora with Russian original resource must\nbe in Russian Tania: possibly Communist Manifesto Agree: seems to be a\ngood idea, lot of languages, open source by now...government\nsupervision? Emily: short text, not parallel, there is always wikipedia.\nDan: it is a particular genre, that misses certain phenomena. Varya:\nSherlock Holmes? Francis mentioned, translated in many languages...\nEmily: all languages do also need some authentical text Varya: Tania,\nyou were asking about the things observed in Little Prince? Pro-drop\nTania: there are a lot of fragments.. Emily: they are independent Varya:\nWord order in terms of information structure could be interesting, but\nit is mostly neutral\n", "title":"Slavic Matrix", "teaser":"This is a page about the Slavic Matrix developed in Saarbruecken and\nSofia.\nHere are the notes from the Subgroup activity taking place at the\nSuquamis ...", "site":"DELPH-IN", "section":"Suquamish 2011", "categories":"", "tags":""}
diff --git a/latestsrc/summits/StandingCommitteeGroup.md b/latestsrc/summits/StandingCommitteeGroup.md
index 88a34409..12281804 100644
--- a/latestsrc/summits/StandingCommitteeGroup.md
+++ b/latestsrc/summits/StandingCommitteeGroup.md
@@ -7,6 +7,7 @@
- Dan Flickinger
- Luís Morgado da Costa
- Stephan Oepen
+- Alexandre Rademaker
- Olga Zamaraeva
-Last update: 2024-08-27 by Francis Bond [[edit](https://github.com/delph-in/docs/wiki/StandingCommitteeGroup/_edit)]{% endraw %}
\ No newline at end of file
+Last update: 2024-08-28 by Francis Bond [[edit](https://github.com/delph-in/docs/wiki/StandingCommitteeGroup/_edit)]{% endraw %}
\ No newline at end of file