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.
Cite
CITATION STYLE
Chen, T., & Van Durme, B. (2017). Discriminative information retrieval for question answering sentence selection. In 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference (Vol. 2, pp. 719–725). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/e17-2114
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.