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UNBNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation.

, , , and . SemEval@NAACL-HLT, page 732-735. The Association for Computer Linguistics, (2016)

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UNBNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation., , , and . SemEval@NAACL-HLT, page 732-735. The Association for Computer Linguistics, (2016)StFX-NLP at SemEval-2023 Task 4: Unsupervised and Supervised Approaches to Detecting Human Values in Arguments., , and . SemEval@ACL, page 205-211. Association for Computational Linguistics, (2023)Evaluating Approaches to Personalizing Language Models., and . LREC, page 2461-2469. European Language Resources Association, (2020)UNBNLP at SemEval-2018 Task 10: Evaluating unsupervised approaches to capturing discriminative attributes., , and . SemEval@NAACL-HLT, page 1013-1016. Association for Computational Linguistics, (2018)Now, It's Personal : The Need for Personalized Word Sense Disambiguation., and . RANLP, page 692-700. INCOMA Ltd., (2021)StFX NLP at SemEval-2023 Task 1: Multimodal Encoding-based Methods for Visual Word Sense Disambiguation., and . SemEval@ACL, page 409-414. Association for Computational Linguistics, (2023)Building Personalized Language Models Through Language Model Interpolation., and . CICLing (1), volume 13451 of Lecture Notes in Computer Science, page 304-315. Springer, (2019)Authorship Verification with Personalized Language Models., and . TDS, volume 12284 of Lecture Notes in Computer Science, page 248-256. Springer, (2020)UNBNLP at SemEval-2019 Task 5 and 6: Using Language Models to Detect Hate Speech and Offensive Language., , and . SemEval@NAACL-HLT, page 514-518. Association for Computational Linguistics, (2019)UNBNLP at SemEval-2021 Task 1: Predicting lexical complexity with masked language models and character-level encoders., , , and . SemEval@ACL/IJCNLP, page 650-654. Association for Computational Linguistics, (2021)