Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation

November 20, 2019 ยท Declared Dead ยท ๐Ÿ› Conference on Empirical Methods in Natural Language Processing

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Authors Yew Ken Chia, Sam Witteveen, Martin Andrews arXiv ID 1911.08976 Category cs.CL: Computation & Language Cross-listed cs.AI, cs.IR Citations 17 Venue Conference on Empirical Methods in Natural Language Processing Last Checked 4 months ago
Abstract
The TextGraphs-13 Shared Task on Explanation Regeneration asked participants to develop methods to reconstruct gold explanations for elementary science questions. Red Dragon AI's entries used the language of the questions and explanation text directly, rather than a constructing a separate graph-like representation. Our leaderboard submission placed us 3rd in the competition, but we present here three methods of increasing sophistication, each of which scored successively higher on the test set after the competition close.
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