https://wiki.cs.hse.ru/index.php?action=history&feed=atom&title=Natural_Language_Processing_DSBA_2026%2F2027 2026-09-21T04:16:03Z История изменений этой страницы в вики MediaWiki 1.43.9 https://wiki.cs.hse.ru/index.php?title=Natural_Language_Processing_DSBA_2026/2027&diff=97129&oldid=prev 2026-09-03T08:14:11Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 08:14, 3 сентября 2026</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l22">Строка 22:</td> <td colspan="2" class="diff-lineno">Строка 22:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div># [https://github.com/xufana/dsba_nlp &#039;&#039;&#039;GitHub&#039;&#039;&#039;]: for posting weekly material, seminars, useful literature, etc.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div># [https://github.com/xufana/dsba_nlp &#039;&#039;&#039;GitHub&#039;&#039;&#039;]: for posting weekly material, seminars, useful literature, etc.</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div># Telegram Сhat <del style="font-weight: bold; text-decoration: none;">(the link is in Smart LMS)</del>: for the course announcements (HW, timetable changes, etc.).</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div># Telegram Сhat: for the course announcements (HW, timetable changes, etc.)<ins style="font-weight: bold; text-decoration: none;">. https://t.me/ +l7PWZn6sbctiY2Uy (erase the space in the link)</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># [https://drive.google.com/drive/folders/1QSdwPgUJYYY3NSi8lA-M-TgYeYPbAjb3?usp=sharing '''GoogleDrive''']: lecture materials, presentations</ins>.</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Course Description ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Course Description ==</div></td></tr> </table>

Ekononova https://wiki.cs.hse.ru/index.php?title=Natural_Language_Processing_DSBA_2026/2027&diff=97097&oldid=prev 2026-09-02T00:20:38Z

<p>Новая страница: «== Course Syllabus == DSBA Natural Language Processing 2026. * DSBA (ПАД ФКН): [https://www.hse.ru/ba/data/courses/1163570047.html Syllabus] == Teachers and Assistants == {| class=&quot;wikitable&quot; style=&quot;text-align:center&quot; |- ! Role !! Group 1 !! Group 2 |- || &#039;&#039;&#039;Lecturer&#039;&#039;&#039; | colspan=&quot;3&quot; | [https://t.me/glkuzi Gleb Kuzmin] |- || &#039;&#039;&#039;Seminarists&#039;&#039;&#039; || [https://t.me/fpakhurov Fedor Pakhurov] || [https://t.me/xufana Daria Andreeva] |} == Useful links ==...»</p> <p><b>Новая страница</b></p><div>== Course Syllabus ==<br /> <br /> DSBA Natural Language Processing 2026.<br /> <br /> * DSBA (ПАД ФКН): [https://www.hse.ru/ba/data/courses/1163570047.html Syllabus]<br /> <br /> == Teachers and Assistants ==<br /> <br /> {| class=&quot;wikitable&quot; style=&quot;text-align:center&quot;<br /> |-<br /> ! Role !! Group 1 !! Group 2<br /> |-<br /> || &#039;&#039;&#039;Lecturer&#039;&#039;&#039;<br /> | colspan=&quot;3&quot; | [https://t.me/glkuzi Gleb Kuzmin]<br /> |-<br /> || &#039;&#039;&#039;Seminarists&#039;&#039;&#039;<br /> || [https://t.me/fpakhurov Fedor Pakhurov]<br /> || [https://t.me/xufana Daria Andreeva]<br /> |}<br /> <br /> == Useful links ==<br /> <br /> # [https://github.com/xufana/dsba_nlp &#039;&#039;&#039;GitHub&#039;&#039;&#039;]: for posting weekly material, seminars, useful literature, etc.<br /> # Telegram Сhat (the link is in Smart LMS): for the course announcements (HW, timetable changes, etc.).<br /> <br /> == Course Description ==<br /> <br /> The course “Natural Language Processing” introduces fundamental and modern methods for processing and analyzing natural language at the intersection of machine learning, deep learning, and computational linguistics. The course covers classical NLP methods, neural approaches to text processing, language modeling, attention and Transformer-based architectures, and modern large language models (LLMs). Particular attention is given to practical applications of LLMs, including fine-tuning, retrieval-augmented generation, efficient inference, evaluation, tool use and agents, as well as multimodal models and selected topics in reliable and responsible NLP.<br /> <br /> == Grading System ==<br /> <br /> Relevant grading formulas are presented on the official course home page ([https://www.hse.ru/ba/data/courses/1163570047.html, DSBA Natural Language Processing]).<br /> <br /> &#039;&#039;&#039;0.4 * Exam + 0.2 * Сolloq + 0.4 * Project&#039;&#039;&#039;<br /> <br /> === Project Assignment ===<br /> <br /> TBA<br /> <br /> === Midterm Colloq ===<br /> <br /> TBA<br /> <br /> === Exam ===<br /> <br /> TBA</div>

Ekononova