2019 DialogueNaturalLanguageInferenc: Difference between revisions
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* ([[2019_DialogueNaturalLanguageInferenc|Welleck et al., 2019]]) | * ([[2019_DialogueNaturalLanguageInferenc|Welleck et al., 2019]]) ⇒ [[author::Sean Welleck]], [[author::Jason Weston]], [[author::Arthur Szlam]], and [[author::Kyunghyun Cho]]. ([[year::2019]]). “[https://www.aclweb.org/anthology/P19-1363/ Dialogue Natural Language Inference].” In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). | ||
<B>Subject Headings:</B> [[Natural Language Inference Task]]; [[Dialogue Natural Language Inference Task]]. | <B>Subject Headings:</B> [[Natural Language Inference Task]]; [[Dialogue Natural Language Inference Task]]. | ||
==Notes== | == Notes == | ||
* Pre-print(s): [https://arxiv.org/abs/1811.00671 arXiv:1811.00671] | * Pre-print(s): [https://arxiv.org/abs/1811.00671 arXiv:1811.00671] | ||
==Cited By== | |||
== Cited By == | |||
* [[Google Scholar]]: ~5 [http://scholar.google.com/scholar?q=%222019%22+Dialogue+Natural+Language+Inference Citations] | * [[Google Scholar]]: ~5 [http://scholar.google.com/scholar?q=%222019%22+Dialogue+Natural+Language+Inference Citations] | ||
* [[Semantic Scholar]]: ~ 5 [https://www.semanticscholar.org/paper/Dialogue-Natural-Language-Inference-Welleck-Weston/92678ba9c9a4db39d354473c826f1e21a0686007#citing-papers Citations] | * [[Semantic Scholar]]: ~ 5 [https://www.semanticscholar.org/paper/Dialogue-Natural-Language-Inference-Welleck-Weston/92678ba9c9a4db39d354473c826f1e21a0686007#citing-papers Citations] | ||
==Quotes== | == Quotes == | ||
===Abstract=== | === Abstract === | ||
Consistency is a long standing issue faced by [[dialogue model]]s. </s> | Consistency is a long standing issue faced by [[dialogue model]]s. </s> | ||
| Line 18: | Line 19: | ||
[[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 metric]]s on a suite of [[evaluation set]]s designed to [[measure]] a [[dialogue modelâs consistency]]. </s> | [[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 metric]]s on a suite of [[evaluation set]]s designed to [[measure]] a [[dialogue modelâs consistency]]. </s> | ||
==References== | == References == | ||
{{#ifanon:| | {{#ifanon:| | ||
Revision as of 01:28, 13 September 2019
- (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.
Notes
- Pre-print(s): arXiv:1811.00671
Cited By
- Google Scholar: ~5 Citations
- Semantic Scholar: ~ 5 Citations
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 modelâs 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 |