The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition

Anthology ID:: N15-1075
Volume:: Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Month:: May–June
Year:: 2015
Address:: Denver, Colorado
Editors:: Rada Mihalcea, Joyce Chai, Anoop Sarkar
Venue:: NAACL
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 735–745
Language:
URL:: https://aclanthology.org/N15-1075
DOI:: 10.3115/v1/N15-1075
Bibkey:
Cite (ACL):: Colin Cherry and Hongyu Guo. 2015. The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition. In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 735–745, Denver, Colorado. Association for Computational Linguistics.
Cite (Informal):: The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition (Cherry & Guo, NAACL 2015)
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PDF:: https://preview.aclanthology.org/proper-vol2-ingestion/N15-1075.pdf