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Quantifying Mental Health from Social Media with Neural User Embeddings.

, , , , and . MLHC, volume 68 of Proceedings of Machine Learning Research, page 306-321. PMLR, (2017)

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SemEval-2023 Task 8: Causal Medical Claim Identification and Related PIO Frame Extraction from Social Media Posts., , , and . SemEval@ACL, page 2266-2274. Association for Computational Linguistics, (2023)Open (Clinical) LLMs are Sensitive to Instruction Phrasings., , , , , , and . CoRR, (2024)UserNLP'22: 2022 International Workshop on User-centered Natural Language Processing., , , , , , and . WWW (Companion Volume), page 1176-1177. ACM, (2022)RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media., , , and . EACL (Findings), page 797. Association for Computational Linguistics, (2023)Early Detection of Online Hate Speech Spreaders with Learned User Representations., , and . CLEF (Working Notes), volume 2936 of CEUR Workshop Proceedings, page 2004-2010. CEUR-WS.org, (2021)Not All Contexts Are Created Equal: Better Word Representations with Variable Attention., , , , , , , and . EMNLP, page 1367-1372. The Association for Computational Linguistics, (2015)Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation., , , , , , , and . EMNLP, page 1520-1530. The Association for Computational Linguistics, (2015)Quantifying Mental Health from Social Media with Neural User Embeddings., , , , and . MLHC, volume 68 of Proceedings of Machine Learning Research, page 306-321. PMLR, (2017)POPSTAR at RepLab 2013: Polarity for Reputation Classification., and . CLEF (Working Notes), volume 1179 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)Modelling Context with User Embeddings for Sarcasm Detection in Social Media., , , , and . CoNLL, page 167-177. ACL, (2016)