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:
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-5/D13-1159.pdf
- Data
- FIGER