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Using contextual information for automatic triage of posts in a peer-support forum.

, , , , and . CLPsych@NAACL-HTL, page 57-68. Association for Computational Linguistics, (2018)

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Corpus Specificity in LSA and Word2vec: The Role of Out-of-Domain Documents., , and . Rep4NLP@ACL, page 1-10. Association for Computational Linguistics, (2018)On the interpretation and significance of bias metrics in texts: a PMI-based approach., , , , and . CoRR, (2021)Zero-shot Multi-Domain Dialog State Tracking Using Prescriptive Rules., , , , and . NeSy, volume 2986 of CEUR Workshop Proceedings, page 57-66. CEUR-WS.org, (2021)Gender bias in magazines oriented to men and women: a computational approach., , , , and . CoRR, (2020)The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word Embeddings., , , and . CoRR, (2023)Investigating the Frequency Distortion of Word Embeddings and Its Impact on Bias Metrics., , , and . EMNLP (Findings), page 113-126. Association for Computational Linguistics, (2023)Corpus specificity in LSA and Word2vec: the role of out-of-domain documents., , and . CoRR, (2017)Comparative study of LSA vs Word2vec embeddings in small corpora: a case study in dreams database., , and . CoRR, (2016)The Dependence on Frequency of Word Embedding Similarity Measures., , and . CoRR, (2022)The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word Embeddings., , , and . EMNLP (Findings), page 5086-5092. Association for Computational Linguistics, (2022)