Adapting a State-of-the-art Anaphora Resolution System for Resource-poor Language

Utpal Sikdar, Asif Ekbal, Sriparna Saha, Olga Uryupina, Massimo Poesio


Anthology ID:
I13-1099
Volume:
Proceedings of the Sixth International Joint Conference on Natural Language Processing
Month:
October
Year:
2013
Address:
Nagoya, Japan
Editors:
Ruslan Mitkov, Jong C. Park
Venue:
IJCNLP
SIG:
Publisher:
Asian Federation of Natural Language Processing
Note:
Pages:
815–821
Language:
URL:
https://aclanthology.org/I13-1099
DOI:
Bibkey:
Cite (ACL):
Utpal Sikdar, Asif Ekbal, Sriparna Saha, Olga Uryupina, and Massimo Poesio. 2013. Adapting a State-of-the-art Anaphora Resolution System for Resource-poor Language. In Proceedings of the Sixth International Joint Conference on Natural Language Processing, pages 815–821, Nagoya, Japan. Asian Federation of Natural Language Processing.
Cite (Informal):
Adapting a State-of-the-art Anaphora Resolution System for Resource-poor Language (Sikdar et al., IJCNLP 2013)
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PDF:
https://aclanthology.org/I13-1099.pdf