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SemEval-2023 Task 8: Causal Medical Claim Identification and Related PIO Frame Extraction from Social Media Posts., , , и . SemEval@ACL, стр. 2266-2274. Association for Computational Linguistics, (2023)UserNLP'22: 2022 International Workshop on User-centered Natural Language Processing., , , , , , и . WWW (Companion Volume), стр. 1176-1177. ACM, (2022)RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media., , , и . EACL (Findings), стр. 797. Association for Computational Linguistics, (2023)Early Detection of Online Hate Speech Spreaders with Learned User Representations., , и . CLEF (Working Notes), том 2936 из CEUR Workshop Proceedings, стр. 2004-2010. CEUR-WS.org, (2021)Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation., , , , , , , и . EMNLP, стр. 1520-1530. The Association for Computational Linguistics, (2015)Not All Contexts Are Created Equal: Better Word Representations with Variable Attention., , , , , , , и . EMNLP, стр. 1367-1372. The Association for Computational Linguistics, (2015)Quantifying Mental Health from Social Media with Neural User Embeddings., , , , и . MLHC, том 68 из Proceedings of Machine Learning Research, стр. 306-321. PMLR, (2017)TUGAS: Exploiting unlabelled data for Twitter sentiment analysis., , , , и . SemEval@COLING, стр. 673-677. The Association for Computer Linguistics, (2014)POPmine: Tracking Political Opinion on the Web., , , и . CIT/IUCC/DASC/PICom, стр. 1521-1526. IEEE, (2015)Modelling Context with User Embeddings for Sarcasm Detection in Social Media., , , , и . CoNLL, стр. 167-177. ACL, (2016)