A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers

Baichuan Li, Jing Liu, Chin-Yew Lin, Irwin King, Michael R. Lyu


Anthology ID:
D13-1159
Volume:
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
Month:
October
Year:
2013
Address:
Seattle, Washington, USA
Editors:
David Yarowsky, Timothy Baldwin, Anna Korhonen, Karen Livescu, Steven Bethard
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1521–1532
Language:
URL:
https://aclanthology.org/D13-1159
DOI:
Bibkey:
Cite (ACL):
Baichuan Li, Jing Liu, Chin-Yew Lin, Irwin King, and Michael R. Lyu. 2013. A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 1521–1532, Seattle, Washington, USA. Association for Computational Linguistics.
Cite (Informal):
A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers (Li et al., EMNLP 2013)
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PDF:
https://preview.aclanthology.org/nschneid-patch-5/D13-1159.pdf
Attachment:
 D13-1159.Attachment.zip
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