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The Social Impact of Natural Language Processing.

, and . ACL (2), The Association for Computer Linguistics, (2016)

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MilaNLP at SemEval-2023 Task 10: Ensembling Domain-Adapted and Regularized Pretrained Language Models for Robust Sexism Detection., , , and . SemEval@ACL, page 2067-2074. Association for Computational Linguistics, (2023)User Review Sites as a Resource for Large-Scale Sociolinguistic Studies., , and . WWW, page 452-461. ACM, (2015)If all you have is a bit of the Bible: Learning POS taggers for truly low-resource languages., , and . ACL (2), page 268-272. The Association for Computer Linguistics, (2015)Augmenting English Adjective Senses with Supersenses., , , , , and . LREC, page 4359-4365. European Language Resources Association (ELRA), (2014)Unsupervised mining of lexical variants from noisy text, , and . Proceedings of the First workshop on Unsupervised Learning in NLP, page 82--90. Association for Computational Linguistics, (2011)Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter., and . SRW@HLT-NAACL, page 88-93. The Association for Computational Linguistics, (2016)Learning part-of-speech taggers with inter-annotator agreement loss., , and . EACL, page 742-751. The Association for Computer Linguistics, (2014)Hey Siri. Ok Google. Alexa: A topic modeling of user reviews for smart speakers., and . W-NUT@EMNLP, page 76-83. Association for Computational Linguistics, (2019)What's in a Preposition? Dimensions of Sense Disambiguation for an Interesting Word Class., , and . COLING (Posters), page 454-462. Chinese Information Processing Society of China, (2010)Improving Author Attribute Prediction by Retrofitting Linguistic Representations with Homophily., and . EMNLP, page 671-677. Association for Computational Linguistics, (2018)