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Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks.

, , and . CoRR, (2015)

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Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?, and . CoRR, (2022)Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks., , and . CoRR, (2015)Extracting Knowledge from Twitter and The Web.. University of Washington, USA, (2013)Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media., , , and . NAACL-HLT (1), page 1380-1390. Association for Computational Linguistics, (2019)SemEval-2015 Task 10: Sentiment Analysis in Twitter., , , , , and . SemEval@NAACL-HLT, page 451-463. The Association for Computer Linguistics, (2015)Results of the WNUT16 Named Entity Recognition Shared Task., , , , and . NUT@COLING, page 138-144. The COLING 2016 Organizing Committee, (2016)Extracting a Knowledge Base of COVID-19 Events from Social Media., , , and . COLING, page 3810-3823. International Committee on Computational Linguistics, (2022)Paraphrasing for Style., , , , and . COLING, page 2899-2914. Indian Institute of Technology Bombay, (2012)Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments., , , and . ACL (1), page 15817-15835. Association for Computational Linguistics, (2023)Code and Named Entity Recognition in StackOverflow., , , and . ACL, page 4913-4926. Association for Computational Linguistics, (2020)