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SenseDefs: a multilingual corpus of semantically annotated textual definitions - Exploiting multiple languages and resources jointly for high-quality Word Sense Disambiguation and Entity Linking., , , and . Lang. Resour. Evaluation, 53 (2): 251-278 (2019)Modelling Semantic Categories using Conceptual Neighborhood., , , and . CoRR, (2019)Why we have switched from building full-fledged taxonomies to simply detecting hypernymy relations.. CoRR, (2017)LMMS reloaded: Transformer-based sense embeddings for disambiguation and beyond., , and . Artif. Intell., (2022)RelBERT: Embedding Relations with Language Models., , and . CoRR, (2023)T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition., and . CoRR, (2022)Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings., , , , , and . CoRR, (2020)Meemi: A simple method for post-processing and integrating cross-lingual word embeddings., , , and . Nat. Lang. Eng., 29 (3): 746-768 (May 2023)Embedding Words and Senses Together via Joint Knowledge-Enhanced Training., , , and . CoNLL, page 100-111. Association for Computational Linguistics, (2017)Supervised Distributional Hypernym Discovery via Domain Adaptation., , , and . EMNLP, page 424-435. The Association for Computational Linguistics, (2016)