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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width">
<title>Welcome to DS504 : NLP</title>
<link href="style.css" rel="stylesheet" type="text/css" />
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Noto+Sans:wght@200&display=swap" rel="stylesheet">
<script src="https://kit.fontawesome.com/18ef578806.js" crossorigin="anonymous"></script>
</head>
<body>
<p id="title">DS504 : Natural Language Processing</p>
<center><img id="iit_logo"
src="https://upload.wikimedia.org/wikipedia/en/thumb/6/61/IIT_Bhilai_logo.png/220px-IIT_Bhilai_logo.png"
alt="IIT Bhilai Logo"></center>
<p id="subtitle">IIT Bhilai : 2024 - 2025 M</p>
<div id="container">
<div id="lpanel">
<p id="c_material"><i class="fa-solid fa-folder-tree"></i>Course Materials</p>
<div id="material_table">
<ul id="my_treeview"></ul>
</div>
</div>
<div id="cpanel">
<div id="inst_container">
<p id="inst_title"><i class="fa-solid fa-chalkboard-user fa-xs"></i>Instructors</p>
<div id="all_inst">
<div class="inst_elem">
<img class="inst" src="Assets/Soumajit_sir.jpg">
<p>Dr. Soumajit Pramanik</p>
<p>(Instructor)</p>
</div>
<div class="inst_elem">
<img class="inst" src="Assets/Brishti.jpeg">
<p>Brishti De</p>
<p>(TA)</p>
</div>
<div class="inst_elem">
<img class="inst" src="Assets/Sanjeevni.jpeg">
<p>Sanjeevni</p>
<p>(TA)</p>
</div>
<div class="inst_elem">
<img class="inst" src="Assets/Kartikeya.jpeg">
<p>Kartikeya Saraswat</p>
<p>(TA)</p>
</div>
</div>
</div>
<div id="course_container">
<p id="course_title"><i class="fa-solid fa-circle-info"></i>Course Information</p>
<div id="course_data">
<h3> Syllabus </h3>
<ol>
<li>Basic Text Processing: Tokenization, Stemming</li>
<li>Language Modeling: N-grams, smoothing</li>
<li>Morphology, Parts of Speech Tagging</li>
<li>Syntax: PCFGs, Dependency Parsing</li>
<li>Semantics: Distributional Semantics, Lexical Semantics, Word Sense Disambiguation</li>
<li>Topic Models</li>
<li>Information Extraction: Relation extraction, Named entity recognition, coreference resolution, Sentiment
analysis, Document summarization, Machine Translation</li>
<li>Deep Learning for NLP: Basic and Advanced Models (Seq-to-Seq,
CNN, Word2Vec, BERT)</li>
</div>
</div>
<div id="reference_container">
<p id="reference_title"><i class="fa-solid fa-circle-info"></i>References</p>
<div id="reference_data">
<ul>
<li>Daniel Jurafsky and James H. Martin. 2021. Speech and Language Processing. 3rd Edition,
Link to Live Book -
<a href="//web.stanford.edu/~jurafsky/slp3/">link</a>
</li>
<li>Delip Rao, Brian McMahan, Natural Language Processing with PyTorch: Build Intelligent
Language Applications Using Deep Learning. O'Reilly Publishers <a
href="Resourses/[NLP] Natural Language Processing with PyTorch (2019).pdf" target="_blank">PDF</a></li>
<li>Hobson Lane, Cole Howard, Hannes Hapke. 2019. Natural Language Processing in Action.
Link to Live Book -
<a href="//livebook.manning.com/book/natural-language-processing-in-action/about-this-book/">link</a>
</li>
</ul>
</div>
</div>
</div>
<div id="rpanel">
<div id="timing">
<p id="t_title"><i class="fa-regular fa-calendar-days"></i>Class Timings</p>
<p class="timing_elem">Tuesday : 5:00pm - 6:20pm</p>
<p class="timing_elem">Thursday : 5:00pm - 6:20pm</p>
<p class="timing_elem">Venue : B107</p>
</div>
<div id="annun">
<p id="annun_title"><i class="fa-solid fa-bullhorn"></i>Announcements</p>
</div>
</div>
</div>
<script src="data.js"></script>
<script src="script.js"></script>
</body>
</html>