{"id":2955,"date":"2025-04-16T14:29:37","date_gmt":"2025-04-16T11:29:37","guid":{"rendered":"https:\/\/dialogue-conf.org\/?page_id=2955"},"modified":"2025-05-23T22:42:57","modified_gmt":"2025-05-23T19:42:57","slug":"%d0%bf%d0%be%d0%bb%d0%bd%d0%b0%d1%8f-%d0%bf%d1%80%d0%be%d0%b3%d1%80%d0%b0%d0%bc%d0%bc%d0%b0-%d0%ba%d0%be%d0%bd%d1%84%d0%b5%d1%80%d0%b5%d0%bd%d1%86%d0%b8%d0%b8-2025","status":"publish","type":"page","link":"https:\/\/dialogue-conf.org\/ru\/%d0%bf%d0%be%d0%bb%d0%bd%d0%b0%d1%8f-%d0%bf%d1%80%d0%be%d0%b3%d1%80%d0%b0%d0%bc%d0%bc%d0%b0-%d0%ba%d0%be%d0%bd%d1%84%d0%b5%d1%80%d0%b5%d0%bd%d1%86%d0%b8%d0%b8-2025\/","title":{"rendered":"\u041f\u043e\u043b\u043d\u0430\u044f \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0430 \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0438 2025"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
 <\/p>\n

23 \u0430\u043f\u0440\u0435\u043b\u044f, \u0441\u0440\u0435\u0434\u0430<\/strong><\/span><\/td>\n<\/tr>\n

 <\/p>\n

 <\/p>\n

 <\/td>\n

1<\/strong>4<\/strong>.<\/strong>0<\/strong>0 \u2013 16.30 <\/strong><\/span>\u041e\u0442\u043a\u0440\u044b\u0442\u0438\u0435 \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0438. <\/strong>\u0421\u0435\u043a\u0446\u0438\u044f \u043f\u0430\u043c\u044f\u0442\u0438 \u041b.\u041b. \u0418\u043e\u043c\u0434\u0438\u043d\u0430: \u0440\u0430\u0437\u043d\u044b\u0435 \u043d\u0430\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0414\u0438\u0430\u043b\u043e\u0433\u0430 <\/strong><\/p>\n

(\u0418\u043d\u0441\u0442\u0438\u0442\u0443\u0442 \u0440\u0443\u0441\u0441\u043a\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430 (\u0443\u043b.\u0412\u043e\u043b\u0445\u043e\u043d\u043a\u0430 18\/2), <\/em>online<\/em>)<\/em><\/td>\n<\/tr>\n

\u0428\u0442\u0440\u0438\u0445\u0438 \u043a \u043f\u043e\u0440\u0442\u0440\u0435\u0442\u0443 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043d\u043e\u0433\u043e \u043b\u0438\u043d\u0433\u0432\u0438\u0441\u0442\u0430<\/td>\n\u0418\u0433\u043e\u0440\u044c \u0411\u043e\u0433\u0443\u0441\u043b\u0430\u0432\u0441\u043a\u0438\u0439, \u0411\u043e\u0440\u0438\u0441 \u0418\u043e\u043c\u0434\u0438\u043d<\/span><\/td>\n<\/tr>\n
 <\/p>\n

Using Rhetorical Structures to Analyze Argumentation in Scientific Communication Texts<\/a><\/p>\n

 <\/td>\n

Akhmadeeva Irina<\/span>, Kononenko Irina, Sidorova Elena, Shestakov Vladimir<\/td>\n<\/tr>\n
Cobald Parser: Joint Morphosyntactic and Semantic Annotation<\/a><\/td>\nBaiuk Ilia, Baiuk Alexandra<\/span>, Petrova Maria<\/td>\n<\/tr>\n
 <\/p>\n

BERT-like Models for Automatic Morpheme Segmentation of the Russian Language<\/a><\/td>\n

Morozov Dmitry<\/span>, Glazkova Anna, Garipov Timur<\/td>\n<\/tr>\n
<\/td>\n <\/p>\n

16.30 \u2013 17.00 <\/strong><\/span>Coffee-break<\/td>\n<\/tr>\n

<\/td>\n17.00 \u2013 <\/strong>18<\/strong>.00 <\/strong><\/span>\u0421\u0435\u043a\u0446\u0438\u044f \u00ab\u0411\u043e\u043b\u044c\u0448\u0438\u0435 \u044f\u0437\u044b\u043a\u043e\u0432\u044b\u0435 \u043a\u043e\u0440\u043f\u0443\u0441\u0430\u00bb<\/strong>(\u0418\u043d\u0441\u0442\u0438\u0442\u0443\u0442 \u0440\u0443\u0441\u0441\u043a\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430 (\u0443\u043b.\u0412\u043e\u043b\u0445\u043e\u043d\u043a\u0430 18\/2), <\/em>online<\/em>)<\/em><\/td>\n<\/tr>\n
 <\/p>\n

\u041d\u0430\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u043a\u043e\u0440\u043f\u0443\u0441 \u0440\u0443\u0441\u0441\u043a\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430 2.0: \u043a\u043e\u0440\u043f\u0443\u0441\u043d\u0430\u044f \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0430, \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b \u0430\u043d\u0430\u043b\u0438\u0437\u0430, \u043d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u0435\u0432\u044b\u0435 \u043c\u043e\u0434\u0435\u043b\u0438 \u0440\u0430\u0437\u043c\u0435\u0442\u043a\u0438 \u0434\u0430\u043d\u043d\u044b\u0445<\/a><\/p>\n

 <\/td>\n

\u0410\u043d\u0430\u0441\u0442\u0430\u0441\u0438\u044f \u0411\u043e\u043d\u0447-\u041e\u0441\u043c\u043e\u043b\u043e\u0432\u0441\u043a\u0430\u044f, \u0421\u0435\u0440\u0433\u0435\u0439 \u0413\u043b\u0430\u0434\u0438\u043b\u0438\u043d<\/span>, \u0410\u043d\u0430\u0441\u0442\u0430\u0441\u0438\u044f \u041a\u043e\u0437\u0435\u0440\u0435\u043d\u043a\u043e, \u041e\u043b\u044c\u0433\u0430 \u041b\u044f\u0448\u0435\u0432\u0441\u043a\u0430\u044f, \u0414\u043c\u0438\u0442\u0440\u0438\u0439 \u041c\u043e\u0440\u043e\u0437\u043e\u0432<\/span> \u0438 \u0434\u0440.<\/td>\n<\/tr>\n
\u0414\u0438\u0444\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0435 \u0438\u043d\u0442\u0435\u0440\u043d\u0435\u0442-\u043a\u043e\u0440\u043f\u0443\u0441\u0430: 10 \u043b\u0435\u0442 \u0441\u043f\u0443\u0441\u0442\u044f<\/td>\n\u0412\u043b\u0430\u0434\u0438\u043c\u0438\u0440 \u0411\u0435\u043b\u0438\u043a\u043e\u0432, \u0412\u043b\u0430\u0434\u0438\u043c\u0438\u0440 \u0421\u0435\u043b\u0435\u0433\u0435\u0439, \u0421\u0435\u0440\u0433\u0435\u0439 \u0428\u0430\u0440\u043e\u0432<\/td>\n<\/tr>\n
<\/td>\n <\/p>\n

18.30 \u2013 21.00 <\/strong><\/span>\u041a\u0440\u0443\u0433\u043b\u044b\u0439 \u0441\u0442\u043e\u043b \u00ab\u041a\u0443\u0434\u0430, \u0437\u0430\u0447\u0435\u043c \u0438 \u043d\u0430 \u0447\u0435\u043c \u043f\u043e\u043f\u043b\u044b\u0432\u0435\u0442 \u043a\u043e\u0440\u043f\u0443\u0441\u043d\u0430\u044f \u043b\u0438\u043d\u0433\u0432\u0438\u0441\u0442\u0438\u043a\u0430?\u00bb\u00a0 <\/strong>\u0412\u0435\u0434\u0443\u0449\u0438\u0439 \u0421.\u0410. \u0428\u0430\u0440\u043e\u0432 (\u0418\u043d\u0441\u0442\u0438\u0442\u0443\u0442 \u0440\u0443\u0441\u0441\u043a\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430 (\u0443\u043b.\u0412\u043e\u043b\u0445\u043e\u043d\u043a\u0430 18\/2), online)<\/em><\/td>\n<\/tr>\n

 <\/p>\n

24 \u0430\u043f\u0440\u0435\u043b\u044f, \u0447\u0435\u0442\u0432\u0435\u0440\u0433<\/strong><\/span><\/td>\n<\/tr>\n

<\/td>\n10.00 \u2013 13.30 <\/strong>(<\/em>\u043f\u0435\u0440\u0435\u0440\u044b\u0432 11.30-12.00) <\/em><\/span>\u0421\u0435\u043a\u0446\u0438\u044f 1. <\/strong>NLP <\/strong>(<\/em>online)<\/em><\/p>\n

\u0412\u0435\u0434\u0443\u0449\u0438\u0439 \u041a\u043e\u0442\u0435\u043b\u044c\u043d\u0438\u043a\u043e\u0432 \u0415.<\/em><\/td>\n<\/tr>\n

 <\/p>\n

Causal Models and Adversarial Training: Selecting the right properties for robust non-topical text classification<\/a><\/td>\n

Lepekhin Mikhail<\/span>, Sharoff Serge<\/td>\n<\/tr>\n
 <\/p>\n

Building Russian Benchmark for Evaluation of Information Retrieval Models<\/a><\/td>\n

Kovalev Grigory<\/span>, Tikhomirov Mikhail, Loukachevitch Natalia, Kozhevnikov Evgeny \u0438 \u0434\u0440.<\/td>\n<\/tr>\n
 <\/p>\n

ruSciFact: Open Benchmark for Verifying Scientific Facts in Russian<\/a><\/td>\n

Vatolin Aleksey<\/span>, Gerasimenko Nikolai, Loukachevitch Natalia, Ianina Anastasia \u0438 \u0434\u0440.<\/td>\n<\/tr>\n
 <\/p>\n

RuTaR \u2013 A Dataset in Russian for Reasoning about Taxes<\/a><\/td>\n

Alibekov Andrey, Migal Alexander<\/span>, Matenkov Andrey, Muryshev Andrey, Bolshakov Vladislav \u0438 \u0434\u0440.<\/td>\n<\/tr>\n
 <\/p>\n

An Approach to Information Extraction from Texts of a Limited Subject Domain Based on a Chain of Large Language Models<\/a><\/td>\n

Sidorova Elena<\/span>, Ivanov Alexander, Ilina Daria, Ovchinnikova Kristina, Osmushkin Nikita, Sery Alexey<\/td>\n<\/tr>\n
 <\/p>\n

Generating Encyclopedic Articles Based on a Collection of Scientific Publications<\/a><\/td>\n

Lee George<\/span>, Loukachevitch Natalia, Khokhlov Alexey<\/td>\n<\/tr>\n
<\/td>\n <\/p>\n

10.00 \u2013 13.30 <\/strong>(<\/em>\u043f\u0435\u0440\u0435\u0440\u044b\u0432 11.30-12.00) <\/em><\/span>\u0421\u0435\u043a\u0446\u0438\u044f 2. \u041b\u0438\u043d\u0433\u0432\u0438\u0441\u0442\u0438\u043a\u0430 <\/strong>(<\/em>online)\u00a0<\/em><\/p>\n

\u0412\u0435\u0434\u0443\u0449\u0438\u0435: \u041a\u043e\u0431\u043e\u0437\u0435\u0432\u0430 \u0418.\u041c., \u0422\u0430\u0442\u0435\u0432\u043e\u0441\u043e\u0432 \u0421.\u0413.<\/em><\/td>\n<\/tr>\n

\u041d\u0435\u043e\u0434\u043d\u043e\u0437\u043d\u0430\u0447\u043d\u043e\u0441\u0442\u044c \u043a\u043e\u043d\u043d\u0435\u043a\u0442\u043e\u0440\u043e\u0432: \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0443\u0442\u043e\u0447\u043d\u0435\u043d\u0438\u044f<\/a><\/td>\n\u041e\u043b\u044c\u0433\u0430 \u0418\u043d\u044c\u043a\u043e\u0432\u0430<\/td>\n<\/tr>\n
 <\/p>\n

Derivation of Aktionsarten from (non-)directional verbs of motion: posing restrictions on restrictions<\/a><\/td>\n

 <\/p>\n

\u041e\u043a\u0441\u0430\u043d\u0430 \u0427\u0443\u0439\u043a\u043e\u0432\u0430, \u0415\u043b\u0435\u043d\u0430 \u0413\u043e\u0440\u0431\u043e\u0432\u0430<\/span><\/td>\n<\/tr>\n

\u0412\u0438\u0434\u043e\u0432\u044b\u0435 \u043f\u0430\u0440\u044b \u0433\u043b\u0430\u0433\u043e\u043b\u044c\u043d\u044b\u0445 \u0438\u0434\u0438\u043e\u043c \u0432 \u0440\u0443\u0441\u0441\u043a\u043e\u043c \u044f\u0437\u044b\u043a\u0435: \u0443\u0441\u043b\u043e\u0432\u0438\u044f \u0438 \u043c\u0435\u0445\u0430\u043d\u0438\u0437\u043c\u044b \u0430\u0441\u043f\u0435\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u043e\u0439 \u0440\u0435\u0434\u0443\u043a\u0446\u0438\u0438<\/a><\/p>\n

 <\/td>\n

\u0421\u0435\u0440\u0433\u0435\u0439 \u0422\u0430\u0442\u0435\u0432\u043e\u0441\u043e\u0432<\/span>, \u041a\u0441\u0435\u043d\u0438\u044f \u041a\u0438\u0441\u0435\u043b\u0435\u0432\u0430<\/td>\n<\/tr>\n
 <\/p>\n

\u0421\u043e\u0432\u043c\u0435\u0441\u0442\u043d\u043e\u0441\u0442\u044c \u0438 \u0440\u0430\u0437\u0434\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c<\/a><\/td>\n

 <\/p>\n

\u0418\u0433\u043e\u0440\u044c \u0411\u043e\u0433\u0443\u0441\u043b\u0430\u0432\u0441\u043a\u0438\u0439<\/td>\n<\/tr>\n

 <\/p>\n

\u0420\u0430\u0437\u0432\u0438\u0442\u0438\u0435 \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u043e-\u044f\u0437\u044b\u043a\u043e\u0432\u044b\u0445 \u0440\u0430\u0441\u0441\u0443\u0436\u0434\u0435\u043d\u0438\u0439 \u0434\u043b\u044f \u0440\u043e\u0431\u043e\u0442\u0430-\u043a\u043e\u043c\u043f\u0430\u043d\u044c\u043e\u043d\u0430<\/a><\/td>\n

 <\/p>\n

\u0410\u0440\u0442\u0435\u043c\u0438\u0439 \u041a\u043e\u0442\u043e\u0432<\/span>, \u0410\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u0424\u0438\u043b\u0430\u0442\u043e\u0432, \u0417\u0430\u0445\u0430\u0440 \u041d\u043e\u0441\u043e\u0432\u0435\u0446, \u041d\u0438\u043a\u0438\u0442\u0430 \u0410\u0440\u0438\u043d\u043a\u0438\u043d<\/td>\n<\/tr>\n

 <\/p>\n

Clause Linkers for the Ruscon Database: Selecting Criteria and Statistical Evaluation<\/a><\/td>\n

 <\/p>\n

\u0421\u0432\u0435\u0442\u043b\u0430\u043d\u0430 \u0422\u0438\u043c\u043e\u0448\u0435\u043d\u043a\u043e<\/span>, \u041d\u0430\u0442\u0430\u043b\u044c\u044f \u0421\u0435\u0440\u0434\u043e\u0431\u043e\u043b\u044c\u0441\u043a\u0430\u044f<\/span>, \u0418\u0440\u0438\u043d\u0430 \u041a\u043e\u0431\u043e\u0437\u0435\u0432\u0430<\/td>\n<\/tr>\n

<\/td>\n <\/p>\n

15.00 \u2013 18.<\/strong>30 <\/strong>(<\/em>\u043f\u0435\u0440\u0435\u0440\u044b\u0432 16.30-17.00) <\/em><\/span>\u0421\u0435\u043a\u0446\u0438\u044f 1. <\/strong>LLM<\/strong> \u0432 \u043b\u0438\u043d\u0433\u0432\u0438\u0441\u0442\u0438\u043a\u0435 <\/strong>(<\/em>online<\/em>)<\/em><\/p>\n

\u0412\u0435\u0434\u0443\u0449\u0438\u0439 \u0421\u0435\u043b\u0435\u0433\u0435\u0439 \u0412.\u041f., \u041a\u043e\u0437\u0435\u0440\u0435\u043d\u043a\u043e \u0415.\u0411.<\/em><\/td>\n<\/tr>\n

Gradual Acceptability Judgments with LLMs: evidence from agreement variation in Russian<\/a><\/td>\nStudenikina Kseniia, Lyutikova Ekaterina, Gerasimova Anastasia<\/td>\n<\/tr>\n
 <\/p>\n

Cultural Evaluation of LLMs in Russian: Catchphrases and Cultural Types<\/a><\/td>\n

 <\/p>\n

Klokova Ksenia, Krongauz Maxim, Shulginov Valery, Yudina Tatiana, Gromenko Elizaveta, Moroz Oksana, Kalacheva Daria<\/td>\n<\/tr>\n

 <\/p>\n

Evaluating the Pragmatic Competence of Large Language Models in Detecting Mitigated and Unmitigated Types of Disagreement<\/a><\/td>\n

Shulginov Valery, Kudriashov Sergei, \u015eim\u015fek Hasan Berkcan, Randautsova Renata, Shevela Sofya<\/td>\n<\/tr>\n
 <\/p>\n

OPERATOR WORDS VERSUS MT SYSTEMS AND LLMs<\/a><\/td>\n

 <\/p>\n

\u0426\u0438\u043c\u043c\u0435\u0440\u043b\u0438\u043d\u0433 \u0410\u043d\u0442\u043e\u043d<\/span>, \u0411\u0430\u044e\u043a \u0410\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440\u0430<\/td>\n<\/tr>\n

 <\/p>\n

Enhancing RAG and Knowledge Graphs with Discourse<\/a><\/td>\n

 <\/p>\n

Galitsky Boris, Ilvovsky Dmitry<\/span>, Morkovkin Anton<\/td>\n<\/tr>\n

 <\/p>\n

LORuGEC: the Linguistically Oriented Rule-annotated corpus for Grammatical Error Correction of Russian<\/a><\/td>\n

 <\/p>\n

Sorokin Alexey<\/span>, Nasyrova Regina<\/td>\n<\/tr>\n

<\/td>\n <\/p>\n

15.00 \u2013 1<\/strong>9<\/strong>.<\/strong>00 <\/strong>(<\/em>\u043f\u0435\u0440\u0435\u0440\u044b\u0432 16.30-17.00) <\/em><\/span>\u0421\u0435\u043a\u0446\u0438\u044f <\/strong>2<\/strong>. \u041c\u0443\u043b\u044c\u0442\u0438\u043c\u043e\u0434\u0430\u043b\u044c\u043d\u044b\u0435 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f <\/strong>(<\/em>online)<\/em><\/p>\n

\u0412\u0435\u0434\u0443\u0449\u0438\u0439 \u041a\u043e\u0440\u043e\u0442\u0430\u0435\u0432 \u041d.\u0410.<\/em><\/td>\n<\/tr>\n

Local structure of descriptive discourse in the speech of adult learners of Russian as a foreign language<\/a><\/td>\nKiose Maria, Rzheshevskaya Anastasia, Petrov Andrey<\/td>\n<\/tr>\n
 <\/p>\n

Computer tools in mental disorders diagnostics by oral speech<\/span><\/a><\/td>\n

Khomenko Anna, Komratova Anastasia, Isakov Danila, Balba Daria, Shishkovskaya Tatiana, Khudyakova Maria<\/td>\n<\/tr>\n
 <\/p>\n

\u0417\u0430\u0434\u0430\u0447\u0430 \u043b\u0435\u043a\u0441\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0440\u0435\u0448\u0435\u043d\u0438\u044f: \u043c\u043e\u0434\u0430\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u0438\u043c\u0435\u0435\u0442 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435<\/a><\/td>\n

Fedorova Olga, Burov Daniil, Panich Maria, Sadkovskii Fedor, Shevelev Sergey<\/td>\n<\/tr>\n
 <\/p>\n

Intensity and its manifestations in speech and recurrent gestures in spontaneous dialogue<\/a><\/td>\n

Prokofyeva Olga, Kiose Maria, Leonteva Anna, Smirnova Evgeniya<\/td>\n<\/tr>\n
 <\/p>\n

\u00ab\u041e\u0439, \u043d\u0435\u0442! \u041d\u0435 \u0432 \u0441\u0440\u0435\u0434\u0443! \u0412 \u0447\u0435\u0442\u0432\u0435\u0440\u0433!\u00bb: \u043a\u043e\u0440\u043f\u0443\u0441\u043d\u043e\u0435 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0435 \u043c\u0435\u0436\u0434\u043e\u043c\u0435\u0442\u0438\u044f \u0432 \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\u0435 \u0440\u0435\u0447\u0435\u0432\u043e\u0433\u043e \u0441\u0431\u043e\u044f<\/a><\/td>\n

 <\/p>\n

Podlesskaya Vera<\/td>\n<\/tr>\n

 <\/p>\n

Upstep in Russian echo-questions about expressions<\/a><\/td>\n

 <\/p>\n

\u042f\u043d\u043a\u043e \u0422\u0430\u0442\u044c\u044f\u043d\u0430<\/td>\n<\/tr>\n

 <\/p>\n

\u0414\u0438\u0441\u043a\u0443\u0440\u0441\u0438\u0432\u043d\u044b\u0435 \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\u044b \u043d\u0430\u043b\u043e\u0436\u0435\u043d\u0438\u0439 \u0432 \u0434\u0438\u0430\u043b\u043e\u0433\u0435 \u043d\u0430 \u0440\u0443\u0441\u0441\u043a\u043e\u043c \u044f\u0437\u044b\u043a\u0435<\/a><\/td>\n

 <\/p>\n

\u041a\u043e\u0440\u043e\u0442\u0430\u0435\u0432 \u041d\u0438\u043a\u043e\u043b\u0430\u0439<\/td>\n<\/tr>\n

<\/td>\n <\/p>\n

19.00 \u2013 21.00 <\/strong><\/span>\u041a\u0440\u0443\u0433\u043b\u044b\u0439 \u0441\u0442\u043e\u043b \u00ab<\/strong>LLM<\/strong> \u0434\u043b\u044f \u043b\u0438\u043d\u0433\u0432\u0438\u0441\u0442\u0438\u043a\u0438 \u0438 \u0441 \u0442\u043e\u0447\u043a\u0438 \u0437\u0440\u0435\u043d\u0438\u044f \u043b\u0438\u043d\u0433\u0432\u0438\u0441\u0442\u0438\u043a\u0438\u00bb<\/strong> (online) <\/em>\u0412\u0435\u0434\u0443\u0449\u0430\u044f \u0422.\u041e.\u0428\u0430\u0432\u0440\u0438\u043d\u0430\u00a0<\/em><\/p>\n

\u00a0<\/span><\/h2>\n<\/td>\n<\/tr>\n

 <\/p>\n

25 \u0430\u043f\u0440\u0435\u043b\u044f, \u043f\u044f\u0442\u043d\u0438\u0446\u0430<\/strong><\/span><\/td>\n<\/tr>\n

 <\/p>\n

\u00a0<\/strong><\/td>\n

10.00 \u2013 13.30 <\/strong><\/span>\u0421\u0435\u043a\u0446\u0438\u044f 1. <\/strong>Dialogue Evaluation<\/strong> (<\/em>2 <\/em>\u0442\u0440\u0435\u043a\u0430) <\/em>(<\/em>online<\/em>)<\/em><\/p>\n

\u0412\u0435\u0434\u0443\u0449\u0430\u044f \u041b\u0443\u043a\u0430\u0448\u0435\u0432\u0438\u0447 \u041d.\u0412.<\/em><\/td>\n<\/tr>\n

 <\/p>\n

RuTermEval-2024: Cross-genre and Cross-domain Automatic Term Extraction and Classification<\/a><\/td>\n

Mamontova Angelina<\/span>, Ischenko Roman, Vorontsov Konstantin<\/td>\n<\/tr>\n
 <\/p>\n

Methods for Recognizing Nested Terms<\/a><\/td>\n

Rozhkov Igor, Loukachevitch Natalia<\/td>\n<\/tr>\n
 <\/p>\n

Comparing Transformer-Based Approaches for Term Recognition in Russian texts<\/a><\/td>\n

Semak Vladislav, Bolshakova Elena<\/td>\n<\/tr>\n
 <\/p>\n

RuOpinionNE-2024: Extraction of Opinion Tuples from Russian News Texts<\/a><\/td>\n

Loukachevitch Natalia<\/span>, Rusnachenko Nikolay, Tikhomirov Mikhail, Lapanitsyna Anna, Tkachenko Natalia<\/td>\n<\/tr>\n
 <\/p>\n

Structured Sentiment Analysis with Large Language Models: A Winning Solution for RuOpinionNE-2024<\/a><\/td>\n

Vatolin Aleksei<\/td>\n<\/tr>\n
 <\/p>\n

Structured sentiment analysis using few-shot prompting of an ensemble of LLMs<\/a><\/td>\n

Rossyaykin Petr<\/td>\n<\/tr>\n
<\/td>\n <\/p>\n

10.<\/strong>3<\/strong>0 \u2013 13.30 <\/strong>(<\/em>\u043f\u0435\u0440\u0435\u0440\u044b\u0432 11.30-12.00) <\/em><\/span>\u0421\u0435\u043a\u0446\u0438\u044f 2. \u041a\u043e\u0440\u043f\u0443\u0441\u043d\u0430\u044f \u043b\u0438\u043d\u0433\u0432\u0438\u0441\u0442\u0438\u043a\u0430, \u0444\u0440\u0430\u0437\u0435\u043e\u043b\u043e\u0433\u0438\u044f<\/strong> (<\/em>online<\/em>)<\/em><\/p>\n

\u0412\u0435\u0434\u0443\u0449\u0430\u044f \u041a\u0438\u0441\u0435\u043b\u0435\u0432\u0430 \u041a\u0441\u0435\u043d\u0438\u044f, \u0411\u0435\u043b\u0438\u043a\u043e\u0432 \u0412.\u0418.<\/em><\/td>\n<\/tr>\n

 <\/p>\n

An Algorithm for Genre Imbalance Correction in the Russian Subcorpus of the Google Books Ngram Corpus<\/a><\/td>\n

Ivleva Anna, Solovyev Valery<\/td>\n<\/tr>\n
 <\/p>\n

\u0427\u0442\u043e \u043c\u043e\u0436\u043d\u043e \u0438 \u0447\u0435\u0433\u043e \u043d\u0435 \u0443\u0434\u0430\u0441\u0442\u0441\u044f \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Google Books Ngram Viewer\u2019\u0430<\/td>\n

\u0412\u043b\u0430\u0434\u0438\u043c\u0438\u0440 \u0411\u0435\u043b\u0438\u043a\u043e\u0432<\/td>\n<\/tr>\n
 <\/p>\n

\u00ab\u041e\u043a\u0438 \u0434\u043e\u043a\u0438, \u0432\u043e\u0442 \u0432\u0430\u043c \u0431\u0435\u0437 \u0440\u043e\u0444\u043b\u0430!\u00bb: \u041f\u043e\u0432\u0441\u0435\u0434\u043d\u0435\u0432\u043d\u0430\u044f \u0440\u0435\u0447\u044c \u043c\u043e\u043b\u043e\u0434\u0435\u0436\u0438 \u0432 \u043a\u043e\u0440\u043f\u0443\u0441\u043d\u043e\u043c \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u0438 (c\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0430 \u0438 \u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0437\u0432\u0443\u043a\u043e\u0432\u043e\u0433\u043e \u043a\u043e\u0440\u043f\u0443\u0441\u0430 \u041a\u0423\u0420\u0421\/ESC)<\/a><\/td>\n

Sherstinova Tatiana, Melnik Aleksey, Petrova Irina, Azarevich Karina, Melkozerova Valeria, Chepovetskaya Sofia<\/td>\n<\/tr>\n
 <\/p>\n

\u041f\u0440\u0435\u0446\u0435\u0434\u0435\u043d\u0442\u043d\u044b\u0435 \u0442\u0435\u043a\u0441\u0442\u044b \u043a\u043e\u0440\u043f\u0443\u0441\u0430 \u00ab\u041e\u0434\u0438\u043d \u0440\u0435\u0447\u0435\u0432\u043e\u0439 \u0434\u0435\u043d\u044c\u00bb \u0438 \u043a\u043e\u043c\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u043f\u0430\u0441\u043f\u0430\u0440\u0442\u0443 \u043f\u043e\u0432\u0441\u0435\u0434\u043d\u0435\u0432\u043d\u043e\u0439\u00a0 \u043a\u043e\u043c\u043c\u0443\u043d\u0438\u043a\u0430\u0446\u0438\u0438<\/a><\/td>\n

\u041d\u0430\u0442\u0430\u043b\u044c\u044f \u0411\u043e\u0433\u0434\u0430\u043d\u043e\u0432\u0430-\u0411\u0435\u0433\u043b\u0430\u0440\u044f\u043d, \u041a\u0441\u0435\u043d\u0438\u044f \u041f\u0435\u0440\u0435\u0441\u044b\u043f\u043a\u0438\u043d\u0430<\/td>\n<\/tr>\n
 <\/p>\n

\u041d\u0430 \u043e\u0442\u0441\u043a\u0440\u0435\u0431\u0438\u0441\u044c : \u0432\u043b\u043e\u0436\u0435\u043d\u043d\u0430\u044f \u0446\u0438\u0442\u0430\u0446\u0438\u044f \u043a\u0430\u043a \u0444\u0430\u043a\u0442\u043e\u0440 \u0438\u0434\u0438\u043e\u043c\u0430\u0442\u0438\u0447\u043d\u043e\u0441\u0442\u0438<\/a><\/td>\n

\u0410\u043d\u0430\u0442\u043e\u043b\u0438\u0439 \u0411\u0430\u0440\u0430\u043d\u043e\u0432<\/td>\n<\/tr>\n
<\/td>\n <\/p>\n

15.00 \u2013 17.3<\/strong>0<\/strong>\u00a0<\/em><\/span>\u041f\u043e\u0441\u0442\u0435\u0440\u044b. \u0420\u0430\u0437\u043d\u044b\u0435 \u043d\u0430\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0414\u0438\u0430\u043b\u043e\u0433\u0430 <\/strong>(\u0444\u043e\u0440\u043c\u0430\u0442 10 \u043c\u0438\u043d\u0443\u0442 \u043f\u0440\u0435\u0437\u0435\u043d\u0442\u0430\u0446\u0438\u044f, 5 \u043c\u0438\u043d\u0443\u0442 \u0432\u043e\u043f\u0440\u043e\u0441\u044b) <\/em>(<\/em>online<\/em>) \u0412\u0435\u0434\u0443\u0449\u0438\u0435: \u0421\u0435\u043b\u0435\u0433\u0435\u0439 \u0412.\u041f., \u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0410.<\/em><\/p>\n

\u0421\u0435\u043a\u0446\u0438\u044f 1<\/em><\/td>\n<\/tr>\n

 <\/p>\n

Readability assessment of written Adyghe using a baseline approach<\/a><\/td>\n

Petrunina Uliana, Zdorova Nina<\/td>\n<\/tr>\n
 <\/p>\n

Faroese Corpus Development: Strategies for Low-Resource Languages Corpora<\/a><\/td>\n

Kharlamova Darya, Yakuboy Andrey, Lezina Alisa, Satdarov Konstantin<\/td>\n<\/tr>\n
 <\/p>\n

An adaptation of sequence labeling approach to Grammatical Error Correction for Russian language<\/td>\n

Sorokin Alexey, Nasyrova Regina<\/td>\n<\/tr>\n
 <\/p>\n

Backtranslation Invariance Boosts Effectiveness of Non-English Prompts<\/a><\/td>\n

Kurtukova Anna, Kozachenko Alexander<\/td>\n<\/tr>\n
 <\/p>\n

\u041a \u0437\u0430\u0434\u0430\u0447\u0435 \u043e\u0446\u0435\u043d\u043a\u0438 \u0441\u0443\u0431\u044a\u0435\u043a\u0442\u0438\u0432\u043d\u043e\u0439 \u0434\u043e\u0441\u0442\u043e\u0432\u0435\u0440\u043d\u043e\u0441\u0442\u0438<\/a><\/td>\n

\u041c\u043e\u043c\u043e\u0442 \u0421\u0435\u0434\u0430, \u0421\u0443\u043b\u0435\u0439\u043c\u0430\u043d\u043e\u0432\u0430 \u0415\u043b\u0435\u043d\u0430<\/td>\n<\/tr>\n
 <\/p>\n

\u041b\u043e\u0433\u0438\u0447\u0435\u0441\u043a\u043e\u0435 \u0443\u0434\u0430\u0440\u0435\u043d\u0438\u0435 \u0438 \u0441\u0438\u043d\u043e\u043d\u0438\u043c\u0438\u044f \u0436\u0435\u0441\u0442\u043e\u0432 \u0432 \u0446\u0435\u0444\u0430\u043b\u0438\u0447\u0435\u0441\u043a\u043e\u043c \u043a\u0430\u043d\u0430\u043b\u0435<\/a><\/td>\n

Evdokimova Alexandra<\/td>\n<\/tr>\n
 <\/p>\n

DoSpeHa: A videogame chat dataset of hate speech<\/td>\n

\u0421\u0443\u0448\u043a\u043e\u0432 \u041b\u0435\u043e\u043d\u0438\u0434, \u0422\u0440\u0443\u043d\u0446\u0435\u0432\u0430 \u0415\u0432\u0430<\/td>\n<\/tr>\n
 <\/p>\n

\u0421\u0438\u0441\u0442\u0435\u043c\u0430 \u043c\u0435\u0436\u0434\u043e\u043c\u0435\u0442\u043d\u044b\u0445 \u0440\u0435\u0430\u043a\u0446\u0438\u0439 \u0434\u043b\u044f \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0430\u043d\u0438\u044f \u043a\u043e\u043c\u043c\u0443\u043d\u0438\u043a\u0430\u0446\u0438\u0438 \u0440\u043e\u0431\u043e\u0442\u043e\u043c-\u043a\u043e\u043c\u043f\u0430\u043d\u044c\u043e\u043d\u043e\u043c<\/a><\/td>\n

\u041b\u0443\u0440\u0438\u044f \u0410\u043b\u0438\u0441\u0430, \u041a\u043e\u0442\u043e\u0432 \u0410\u0440\u0442\u0435\u043c\u0438\u0439<\/td>\n<\/tr>\n
 <\/p>\n

Interpretable approach to detecting semantic changes based on generated definitions<\/a><\/td>\n

Tatarinov Maksim, Demidovsky Aleksandr<\/td>\n<\/tr>\n
 <\/p>\n

The methodology of multi-criteria evaluation of text markup models based on inconsistent expert markup<\/td>\n

Levikin Alexander, Khabutdinov Ildar, Grabovoy Andrey, Vorontsov Konstantin<\/td>\n<\/tr>\n
<\/td>\n <\/p>\n

1<\/strong>8<\/strong>.0<\/strong>0 \u2013 2<\/strong>0<\/strong>.0<\/strong>0 <\/strong><\/span>\u041a\u0440\u0443\u0433\u043b\u044b\u0439 \u0441\u0442\u043e\u043b \u00ab\u0414\u0438\u0430\u043b\u043e\u0433\u0443 \u043f\u043e\u043b\u0432\u0435\u043a\u0430, \u0447\u0442\u043e \u0434\u0430\u043b\u044c\u0448\u0435?\u00bb <\/strong>\u0412\u0435\u0434\u0443\u0449\u0438\u0439 \u0412.\u041f. \u0421\u0435\u043b\u0435\u0433\u0435\u0439 <\/em>(<\/em>online<\/em>)<\/em><\/p>\n

\u0421\u0435\u043a\u0446\u0438\u044f 1\u00a0<\/em><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

  23 \u0430\u043f\u0440\u0435\u043b\u044f, \u0441\u0440\u0435\u0434\u0430       14.00 \u2013 16.30 […]<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"100-width.php","meta":{"footnotes":""},"class_list":["post-2955","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/dialogue-conf.org\/ru\/wp-json\/wp\/v2\/pages\/2955","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dialogue-conf.org\/ru\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dialogue-conf.org\/ru\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dialogue-conf.org\/ru\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/dialogue-conf.org\/ru\/wp-json\/wp\/v2\/comments?post=2955"}],"version-history":[{"count":104,"href":"https:\/\/dialogue-conf.org\/ru\/wp-json\/wp\/v2\/pages\/2955\/revisions"}],"predecessor-version":[{"id":3465,"href":"https:\/\/dialogue-conf.org\/ru\/wp-json\/wp\/v2\/pages\/2955\/revisions\/3465"}],"wp:attachment":[{"href":"https:\/\/dialogue-conf.org\/ru\/wp-json\/wp\/v2\/media?parent=2955"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}