Science Question Answering using Instructional Materials

February 13, 2016 ยท Declared Dead ยท ๐Ÿ› Annual Meeting of the Association for Computational Linguistics

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Authors Mrinmaya Sachan, Avinava Dubey, Eric P. Xing arXiv ID 1602.04375 Category cs.CL: Computation & Language Cross-listed cs.AI, cs.IR, cs.LG Citations 25 Venue Annual Meeting of the Association for Computational Linguistics Last Checked 4 months ago
Abstract
We provide a solution for elementary science test using instructional materials. We posit that there is a hidden structure that explains the correctness of an answer given the question and instructional materials and present a unified max-margin framework that learns to find these hidden structures (given a corpus of question-answer pairs and instructional materials), and uses what it learns to answer novel elementary science questions. Our evaluation shows that our framework outperforms several strong baselines.
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