Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation
November 20, 2019 ยท Declared Dead ยท ๐ Conference on Empirical Methods in Natural Language Processing
"No code URL or promise found in abstract"
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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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