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Towards a Flexible Model of Word Meaning. Proceedings of the Workshop on Acquiring (and Using) Linguistic (and World) Knowledge for Information Access, AAAI Spring Symposium 2002, Palo Alto, California, USA, (2002)Towards pertinent evaluation methodologies for word-space models.. LREC, page 821-824. European Language Resources Association (ELRA), (2006)Distributional Term Set Expansion., and . LREC, European Language Resources Association (ELRA), (2018)Measuring Issue Ownership using Word Embeddings., and . WASSA@EMNLP, page 149-155. Association for Computational Linguistics, (2018)Should we Stop Training More Monolingual Models, and Simply Use Machine Translation Instead?, , and . NoDaLiDa, page 385-390. Linköping University Electronic Press, Sweden, (2021)Federated Word2Vec: Leveraging Federated Learning to Encourage Collaborative Representation Learning., , , and . CoRR, (2021)SenseCluster at SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection., , , and . SemEval@COLING, page 112-118. International Committee for Computational Linguistics, (2020)Vector-Based Semantic Analysis: Representing Word Meanings Based on Random Labels. Proceedings of the ESSLLI 2001 Workshop on Semantic Knowledge Acquisition and Categorisation, Helsinki, Finland, (2001)Gender Bias in Pretrained Swedish Embeddings., and . NODALIDA, page 35-43. Linköping University Electronic Press, (2019)Parameterized context windows in Random Indexing., , and . Rep4NLP@ACL, page 166-173. Association for Computational Linguistics, (2016)