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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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Learning Graph Embeddings from WordNet-based Similarity Measures., , , , , and . CoRR, (2018)A framework for enriching lexical semantic resources with distributional semantics., , , and . Nat. Lang. Eng., 24 (2): 265-312 (2018)TaxFree: a Visualization Tool for Candidate-free Taxonomy Enrichment., , , and . AACL/IJCNLP (System Demonstrations), page 39-47. Association for Computational Linguistics, (2022)Detecting Text Formality: A Study of Text Classification Approaches., , and . RANLP, page 274-284. INCOMA Ltd., Shoumen, Bulgaria, (2023)MERA: A Comprehensive LLM Evaluation in Russian., , , , , , , , , and 9 other author(s). CoRR, (2024)Comparison of the Baseline Knowledge-, Corpus-, and Web-based Similarity Measures for Semantic Relations Extraction.. GEMS, page 11-21. Association for Computational Linguistics, (2011)Neural Entity Linking: A Survey of Models based on Deep Learning., , , , and . CoRR, (2020)Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models., , and . CoRR, (2022)Watset., , , and . Comput. Linguistics, 45 (3): 423-479 (2019)Energy-efficient flocking in multi-agent systems., and . CoRR, (2023)