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Meaning_space at SemEval-2018 Task 10: Combining explicitly encoded knowledge with information extracted from word embeddings.

, , and . SemEval@NAACL-HLT, page 940-946. Association for Computational Linguistics, (2018)

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Towards interpretable, data-derived distributional meaning representations for reasoning: A dataset of properties and concepts., , and . GWC, page 85-98. Global Wordnet Association, (2019)Conceptual Change and Distributional Semantic Models: an Exploratory Study on Pitfalls and Possibilities., and . LChange@ACL, page 223-233. Association for Computational Linguistics, (2019)Challenging distributional models with a conceptual network of philosophical terms., , , , , and . NAACL-HLT, page 2511-2522. Association for Computational Linguistics, (2021)Towards More Informative List Verbalisations., , and . AI4LEGAL/KGSum@ISWC, volume 3257 of CEUR Workshop Proceedings, page 136-146. CEUR-WS.org, (2022)Methodological Insights in Detecting Subtle Semantic Shifts with Contextualized and Static Language Models., , , and . EMNLP (Findings), page 3662-3675. Association for Computational Linguistics, (2023)Meaning_space at SemEval-2018 Task 10: Combining explicitly encoded knowledge with information extracted from word embeddings., , and . SemEval@NAACL-HLT, page 940-946. Association for Computational Linguistics, (2018)ARN: A Comprehensive Framework and Dataset for Analogical Reasoning on Narratives., , and . CoRR, (2023)The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference., , , , , and . CoRR, (2023)Why is penguin more similar to polar bear than to sea gull? Analyzing conceptual knowledge in distributional models.. ACL (student), page 134-142. Association for Computational Linguistics, (2020)Story Trees: Representing Documents using Topological Persistence., , , , and . LREC, page 2413-2429. European Language Resources Association, (2022)