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

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arxiv 1911.08976 v1 pith:AZ43LK5E submitted 2019-11-20 cs.CL cs.AIcs.IR

Yew Ken Chia , Sam Witteveen , Martin Andrews This is my paper · ORCID
classification cs.CLcs.AIcs.IR
keywords explanationcompetitiondragonlanguagemethodsquestionssharedtask
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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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