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RusNLP: Semantic Search Engine for Russian NLP Conference Papers.

, , and . AIST, volume 11179 of Lecture Notes in Computer Science, page 111-120. Springer, (2018)

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A Survey of Word Embeddings Evaluation Methods. (2018)cite arxiv:1801.09536Comment: 26 pages.Vector Space Models for Automatic Misogyny Identification (Short Paper).. EVALITA@CLiC-it, volume 2263 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)RusNLP: Semantic Search Engine for Russian NLP Conference Papers., , and . AIST, volume 11179 of Lecture Notes in Computer Science, page 111-120. Springer, (2018)Distributional Word Vectors as Semantic Maps Framework.. Computación y Sistemas, (2022)Did You Just Assume My Vector? Detecting Gender Stereotypes in Word Embeddings.. AIST (Supplement), volume 1357 of Communications in Computer and Information Science, page 3-10. Springer, (2020)Can Eye Movement Data Be Used As Ground Truth For Word Embeddings Evaluation?. CoRR, (2018)The Limitations of Cross-language Word Embeddings Evaluation., , and . *SEM@NAACL-HLT, page 94-100. Association for Computational Linguistics, (2018)Data-driven models and computational tools for neurolinguistics: a language technology perspective., , , , and . CoRR, (2020)Layout logical labelling and finding the semantic relationships between citing and cited paper content., , and . Int. J. Metadata Semant. Ontologies, 14 (1): 54-62 (2020)Automated Detection of Non-Relevant Posts on the Russian Imageboard "2ch": Importance of the Choice of Word Representations., and . AIST, volume 10716 of Lecture Notes in Computer Science, page 16-21. Springer, (2017)