Discriminative Information Retrieval for Question Answering Sentence Selection

Tongfei Chen, Benjamin Van Durme


Abstract
We propose a framework for discriminative IR atop linguistic features, trained to improve the recall of answer candidate passage retrieval, the initial step in text-based question answering. We formalize this as an instance of linear feature-based IR, demonstrating a 34%-43% improvement in recall for candidate triage for QA.
Anthology ID:
E17-2114
Volume:
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
Month:
April
Year:
2017
Address:
Valencia, Spain
Editors:
Mirella Lapata, Phil Blunsom, Alexander Koller
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
719–725
Language:
URL:
https://aclanthology.org/E17-2114
DOI:
Bibkey:
Cite (ACL):
Tongfei Chen and Benjamin Van Durme. 2017. Discriminative Information Retrieval for Question Answering Sentence Selection. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 719–725, Valencia, Spain. Association for Computational Linguistics.
Cite (Informal):
Discriminative Information Retrieval for Question Answering Sentence Selection (Chen & Van Durme, EACL 2017)
Copy Citation:
PDF:
https://aclanthology.org/E17-2114.pdf
Code
 ctongfei/probe