Discriminative information retrieval for question answering sentence selection

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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.

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APA

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

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