2019 DialogueNaturalLanguageInferenc

• (Welleck et al., 2019) ⇒ Sean Welleck, Jason Weston, Arthur Szlam, and Kyunghyun Cho. (2019). “Dialogue Natural Language Inference.” In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019).

Subject Headings: Natural Language Inference Task; Dialogue Natural Language Inference Task

Cited By

• http://scholar.google.com/scholar?q=%222019%22+Dialogue+Natural+Language+Inference

Quotes

Abstract

Consistency is a long standing issue faced by dialogue models. In this paper, we frame the consistency of dialogue agents as natural language inference (NLI) and create a new natural language inference dataset called Dialogue NLI. We propose a method which demonstrates that a model trained on Dialogue NLI can be used to improve the consistency of a dialogue model, and evaluate the method with human evaluation and with automatic metrics on a suite of evaluation sets designed to measure a dialogue model’s consistency.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2019 DialogueNaturalLanguageInferenc	Jason Weston Kyunghyun Cho Sean Welleck Arthur Szlam			Dialogue Natural Language Inference						2019