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Improving Lexical Embeddings with Semantic Knowledge.

, and . ACL (2), page 545-550. The Association for Computer Linguistics, (2014)

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Worldwide Influenza Surveillance through Twitter., , , and . AAAI Workshop: WWW and Public Health Intelligence, volume WS-15-15 of AAAI Technical Report, AAAI Press, (2015)Managers' email: beyond tasks and to-dos., , , , , and . CHI Extended Abstracts, page 1324-1327. ACM, (2005)Contextual Information Improves OOV Detection in Speech., , , and . HLT-NAACL, page 216-224. The Association for Computational Linguistics, (2010)Entity Clustering Across Languages., , , , and . HLT-NAACL, page 60-69. The Association for Computational Linguistics, (2012)Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction., , and . HLT-NAACL, page 1374-1379. The Association for Computational Linguistics, (2015)Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on Twitter., , and . PEOPLES@NAACL-HTL, page 56-61. Association for Computational Linguistics, (2018)Changes in Tweet Geolocation over Time: A Study with Carmen 2.0., , and . W-NUT@COLING, page 1-14. Association for Computational Linguistics, (2022)Streaming Cross Document Entity Coreference Resolution., , and . COLING (Posters), page 1050-1058. Chinese Information Processing Society of China, (2010)Bernice: A Multilingual Pre-trained Encoder for Twitter., , , , , and . EMNLP, page 6191-6205. Association for Computational Linguistics, (2022)Do Explicit Alignments Robustly Improve Multilingual Encoders?, and . EMNLP (1), page 4471-4482. Association for Computational Linguistics, (2020)