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Quantifying Mental Health Signals in Twitter.

, , and . CLPsych@ACL, page 51-60. Association for Computational Linguistics, (2014)

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Learning Sub-Word Units for Open Vocabulary Speech Recognition., , , and . ACL, page 712-721. The Association for Computer Linguistics, (2011)Robust Entity Clustering via Phylogenetic Inference., , and . ACL (1), page 775-785. The Association for Computer Linguistics, (2014)Clinical Concept Linking with Contextualized Neural Representations., , and . ACL, page 8585-8592. Association for Computational Linguistics, (2020)FrameNet+: Fast Paraphrastic Tripling of FrameNet., , , , , and . ACL (2), page 408-413. The Association for Computer Linguistics, (2015)Characterization of Stigmatizing Language in Medical Records., , , , , , , and . ACL (2), page 312-329. Association for Computational Linguistics, (2023)Bernice: A Multilingual Pre-trained Encoder for Twitter., , , , , and . EMNLP, page 6191-6205. Association for Computational Linguistics, (2022)Improved Relation Extraction with Feature-Rich Compositional Embedding Models., , and . EMNLP, page 1774-1784. The Association for Computational Linguistics, (2015)Are All Languages Created Equal in Multilingual BERT?, and . RepL4NLP@ACL, page 120-130. Association for Computational Linguistics, (2020)Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides., , , and . HT, page 85-94. ACM, (2015)Learning Fast Classifiers for Image Spam., , and . CEAS, (2007)