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Russian Information Retrieval Evaluation Seminar.

, , , , и . LREC, European Language Resources Association, (2004)

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V Saile

V Geoffroy

V Wittwer

V Ustinov

V Adams

 

Другие публикации лиц с тем же именем

Evaluating Sentiment Analysis Systems in Russian., и . BSNLP@ACL, стр. 12-17. Association for Computational Linguistics, (2013)Large-Scale Linguistic Ontology as a Basis for Text Categorization of Legislative Documents., и . JURIX, том 134 из Frontiers in Artificial Intelligence and Applications, стр. 109-110. IOS Press, (2005)Studying Taxonomy Enrichment on Diachronic WordNet Versions., , , и . COLING, стр. 3095-3106. International Committee on Computational Linguistics, (2020)Extraction of Russian Sentiment Lexicon for Product Meta-Domain., и . COLING, стр. 593-610. Indian Institute of Technology Bombay, (2012)Multiple Evidence for Term Extraction in Broad Domains., и . RANLP, стр. 710-715. RANLP 2011 Organising Committee, (2011)Recognizing Names in Islam-Related Russian Twitter., и . DAMDID/RCDL, том 2022 из CEUR Workshop Proceedings, стр. 246-251. CEUR-WS.org, (2017)Итерационное извлечение шаблонов описания событий по новостным кластерам (Iterative Pattern Extraction Using News Clusters)., и . RCDL, том 934 из CEUR Workshop Proceedings, стр. 292-298. CEUR-WS.org, (2012)Extracting Sentiment Attitudes from Analytical Texts via Piecewise Convolutional Neural Network., и . DAMDID/RCDL, том 2277 из CEUR Workshop Proceedings, стр. 186-192. CEUR-WS.org, (2018)Sentiment Attitudes and Their Extraction from Analytical Texts., и . TSD, том 11107 из Lecture Notes in Computer Science, стр. 41-49. Springer, (2018)Topic Models Can Improve Domain Term Extraction., , и . ECIR, том 7814 из Lecture Notes in Computer Science, стр. 684-687. Springer, (2013)