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Huntsville, hospitals, and hockey teams: Names can reveal your location.

, , , and . NUT@EMNLP, page 116-121. Association for Computational Linguistics, (2017)

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The Social and the Neural Network: How to Make Natural Language Processing about People again.. PEOPLES@NAACL-HTL, page 42-49. Association for Computational Linguistics, (2018)Selection Bias, Label Bias, and Bias in Ground Truth., , and . COLING (Tutorials), page 11-13. ACL, (2014)More or less supervised supersense tagging of Twitter., , , , and . *SEM@COLING, page 1-11. The *SEM 2014 Organizing Committee, (2014)A Walk-Based Semantically Enriched Tree Kernel Over Distributed Word Representations., , and . EMNLP, page 1411-1416. ACL, (2013)Cross-lingual syntactic variation over age and gender., , and . CoNLL, page 103-112. ACL, (2015)Robust Cross-Domain Sentiment Analysis for Low-Resource Languages., , and . WASSA@ACL, page 2-7. The Association for Computer Linguistics, (2014)Personality Traits on Twitter - or - How to Get 1, 500 Personality Tests in a Week., and . WASSA@EMNLP, page 92-98. The Association for Computer Linguistics, (2015)Unsupervised Discovery of Domain-Specific Knowledge from Text., , , and . ACL, page 1466-1475. The Association for Computer Linguistics, (2011)Putting Sarcasm Detection into Context: The Effects of Class Imbalance and Manual Labelling on Supervised Machine Classification of Twitter Conversations., and . ACL (Student Research Workshop), page 107-113. Association for Computational Linguistics, (2016)Recognizing and Reducing Bias in NLP Applications.. CLiC-it, volume 2481 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)