E3: Entailment-driven Extracting and Editing for Conversational Machine Reading

ACL (1), pp. 2310-2320, 2019.

Cited by: 0|Bibtex|Views34|DOI:https://doi.org/10.18653/v1/p19-1223
EI
Other Links: dblp.uni-trier.de|arxiv.org

Abstract:

Conversational machine reading systems help users answer high-level questions (e.g. determine if they qualify for particular government benefits) when they do not know the exact rules by which the determination is made(e.g. whether they need certain income levels or veteran status). The key challenge is that these rules are only provide...More

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