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Making sense of word embeddings

, , , and . Proceedings of the 1st Workshop on Representation Learning for NLP, page 174--183. (2016)

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LIORI at SemEval-2021 Task 8: Ask Transformer for measurements., , , and . SemEval@ACL/IJCNLP, page 1249-1254. Association for Computational Linguistics, (2021)Making Sense of Word Embeddings., , , and . CoRR, (2017)How much does a word weigh? Weighting word embeddings for word sense induction., , and . CoRR, (2018)BOS at SemEval-2020 Task 1: Word Sense Induction via Lexical Substitution for Lexical Semantic Change Detection., and . SemEval@COLING, page 171-179. International Committee for Computational Linguistics, (2020)LIORI at SemEval-2021 Task 2: Span Prediction and Binary Classification approaches to Word-in-Context Disambiguation., , , and . SemEval@ACL/IJCNLP, page 780-786. Association for Computational Linguistics, (2021)Baselines and Symbol N-Grams: Simple Part-Of-Speech Tagging of Russian., and . AIST (Supplement), volume 1975 of CEUR Workshop Proceedings, page 9-19. CEUR-WS.org, (2017)DeepMistake at LSCDiscovery: Can a Multilingual Word-in-Context Model Replace Human Annotators?, and . LChange@ACL, page 173-179. Association for Computational Linguistics, (2022)Combining Lexical Substitutes in Neural Word Sense Induction., , and . RANLP, page 62-70. INCOMA Ltd., (2019)HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings., , , , , and . SemEval@NAACL-HLT, page 125-129. Association for Computational Linguistics, (2019)The Document Vectors Using Cosine Similarity Revisited., and . Insights@ACL, page 129-133. Association for Computational Linguistics, (2022)