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<full_title>Journal of Open Source Software</full_title> | ||
<abbrev_title>JOSS</abbrev_title> | ||
<issn media_type="electronic">2475-9066</issn> | ||
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<title>ER-Evaluation: End-to-End Evaluation of Entity | ||
Resolution Systems</title> | ||
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<given_name>Olivier</given_name> | ||
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<article_title>(Almost) all of entity | ||
resolution</article_title> | ||
<author>Binette</author> | ||
<journal_title>Science Advances</journal_title> | ||
<issue>12</issue> | ||
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<article_title>Estimating the performance of entity | ||
resolution algorithms: Lessons learned through | ||
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<author>Binette</author> | ||
<journal_title>The American Statistician</journal_title> | ||
<issue>4</issue> | ||
<volume>77</volume> | ||
<doi>10.1080/00031305.2023.2191664</doi> | ||
<cYear>2023</cYear> | ||
<unstructured_citation>Binette, O., York, S. A., Hickerson, | ||
E., Baek, Y., Madhavan, S., & Jones, C. (2023). Estimating the | ||
performance of entity resolution algorithms: Lessons learned through | ||
PatentsView.org. The American Statistician, 77(4), 370–380. | ||
https://doi.org/10.1080/00031305.2023.2191664</unstructured_citation> | ||
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<article_title>PatentsView-Evaluation: Evaluation datasets | ||
and tools to advance research on inventor name | ||
disambiguation</article_title> | ||
<author>Binette</author> | ||
<journal_title>arXiv e-prints</journal_title> | ||
<doi>10.48550/arXiv.2301.03591</doi> | ||
<cYear>2023</cYear> | ||
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J., Card, B. A., Melluso, E., & Jones, C. (2023). | ||
PatentsView-Evaluation: Evaluation datasets and tools to advance | ||
research on inventor name disambiguation. arXiv e-Prints. | ||
https://doi.org/10.48550/arXiv.2301.03591</unstructured_citation> | ||
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<article_title>An end-to-end evaluation framework for entity | ||
resolution systems with application to inventor name | ||
disambiguation</article_title> | ||
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<cYear>2023</cYear> | ||
<unstructured_citation>Binette, O., Baek, Y., Melluso, E., | ||
Jones, C., Dasylva, A., & Reiter, J. P. (2023). An end-to-end | ||
evaluation framework for entity resolution systems with application to | ||
inventor name disambiguation.</unstructured_citation> | ||
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<article_title>Bridging the gap between reality and ideality | ||
of entity matching: A revisting and benchmark | ||
re-construction</article_title> | ||
<author>Wang</author> | ||
<journal_title>Proceedings of the Thirty-First International | ||
Joint Conference on Artificial Intelligence, IJCAI-22</journal_title> | ||
<doi>10.24963/ijcai.2022/552</doi> | ||
<cYear>2022</cYear> | ||
<unstructured_citation>Wang, T., Lin, H., Fu, C., Han, X., | ||
Sun, L., Xiong, F., Chen, H., Lu, M., & Zhu, X. (2022). Bridging the | ||
gap between reality and ideality of entity matching: A revisting and | ||
benchmark re-construction. In L. D. Raedt (Ed.), Proceedings of the | ||
Thirty-First International Joint Conference on Artificial Intelligence, | ||
IJCAI-22 (pp. 3978–3984). International Joint Conferences on Artificial | ||
Intelligence Organization. | ||
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<volume_title>Data Matching: Concepts and Techniques for | ||
Record Linkage, Entity Resolution, and Duplicate | ||
Detection</volume_title> | ||
<author>Christen</author> | ||
<cYear>2012</cYear> | ||
<unstructured_citation>Christen, P. (2012). Data Matching: | ||
Concepts and Techniques for Record Linkage, Entity Resolution, and | ||
Duplicate Detection. Springer Publishing Company, | ||
Incorporated.</unstructured_citation> | ||
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<citation key="marchant2017"> | ||
<article_title>In search of an entity resolution OASIS: | ||
Optimal asymptotic sequential importance sampling</article_title> | ||
<author>Marchant</author> | ||
<journal_title>Proc. VLDB Endow.</journal_title> | ||
<issue>11</issue> | ||
<volume>10</volume> | ||
<doi>10.14778/3137628.3137642</doi> | ||
<cYear>2017</cYear> | ||
<unstructured_citation>Marchant, N. G., & Rubinstein, B. | ||
I. P. (2017). In search of an entity resolution OASIS: Optimal | ||
asymptotic sequential importance sampling. Proc. VLDB Endow., 10(11), | ||
1322–1333. | ||
https://doi.org/10.14778/3137628.3137642</unstructured_citation> | ||
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<volume_title>The Four Generations of Entity | ||
Resolution</volume_title> | ||
<author>Papadakis</author> | ||
<cYear>2021</cYear> | ||
<unstructured_citation>Papadakis, G., Ioannou, E., Thanos, | ||
E., & Palpanas, T. (2021). The Four Generations of Entity | ||
Resolution. Morgan & Claypool Publishers.</unstructured_citation> | ||
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<citation key="christophides2019"> | ||
<article_title>An overview of end-to-end entity resolution | ||
for big data</article_title> | ||
<author>Christophides</author> | ||
<journal_title>ACM Computing Surveys</journal_title> | ||
<issue>6</issue> | ||
<volume>53</volume> | ||
<doi>10.1145/3418896</doi> | ||
<cYear>2021</cYear> | ||
<unstructured_citation>Christophides, V., Efthymiou, V., | ||
Palpanas, T., Papadakis, G., & Stefanidis, K. (2021). An overview of | ||
end-to-end entity resolution for big data. ACM Computing Surveys, 53(6), | ||
1–42. https://doi.org/10.1145/3418896</unstructured_citation> | ||
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