How Well can We Learn Interpretable Entity Types from Text?

Dirk Hovy


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)
Copy Citation:
PDF:
https://preview.aclanthology.org/naacl-24-ws-corrections/P14-2079.pdf