How Well can We Learn Interpretable Entity Types from Text?

Anthology ID:: P14-2079
Volume:: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Month:: June
Year:: 2014
Address:: Baltimore, Maryland
Editors:: Kristina Toutanova, Hua Wu
Venue:: ACL
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 482–487
Language:
URL:: https://aclanthology.org/P14-2079
DOI:: 10.3115/v1/P14-2079
Bibkey:
Cite (ACL):: Dirk Hovy. 2014. How Well can We Learn Interpretable Entity Types from Text?. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 482–487, Baltimore, Maryland. Association for Computational Linguistics.
Cite (Informal):: How Well can We Learn Interpretable Entity Types from Text? (Hovy, ACL 2014)
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PDF:: https://preview.aclanthology.org/naacl-24-ws-corrections/P14-2079.pdf