Difference between revisions of "Natural Language Inference (NLI) Task"

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* <B>Counter-Example(s):</B>
 
* <B>Counter-Example(s):</B>
 
** a [[Vision Inference Task]],
 
** a [[Vision Inference Task]],
** a [[Natural Language Processing Task]].
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** a [[Natural Language Processing Task]],
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** a [[Natural Language Understanding Task]],
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** a [[Natural Language Translation Task]].
 
* <B>See:</B> [[Paraphrasing Task]], [[Syntactic Parsing Task]], [[Morphological Analysis Task]], [[Word Sense Disambiguation]], [[Lexical Semantic Relatedness]], [[Logical Inference]].
 
* <B>See:</B> [[Paraphrasing Task]], [[Syntactic Parsing Task]], [[Morphological Analysis Task]], [[Word Sense Disambiguation]], [[Lexical Semantic Relatedness]], [[Logical Inference]].
 
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=== 2019 ===
 
=== 2019 ===
* ([[2019_DialogueNaturalLanguageInferenc|Welleck et al., 2019]]) ⇒ [[author::Sean Welleck]], [[author::Jason Weston]], [[author::Arthur Szlam]], and [[author::Kyunghyun Cho]]. ([[year::2019]]). &ldquo;[https://www.aclweb.org/anthology/P19-1363/ Dialogue Natural Language Inference].&rdquo; In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019).  
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* ([[2019_DialogueNaturalLanguageInferenc|Welleck et al., 2019]]) ⇒ [[author::Sean Welleck]], [[author::Jason Weston]], [[author::Arthur Szlam]], and [[author::Kyunghyun Cho]]. ([[year::2019]]). &ldquo;[https://www.aclweb.org/anthology/P19-1363/ Dialogue Natural Language Inference].&rdquo; In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019).
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** QUOTE: '''[[Natural Language Inference]].''' [[Natural Language Inference (NLI)]] assumes a [[dataset]] <math>\mathcal{D} = \{(s_1, s_2)_i,y_i\}^N_{i=1} </math>which associates an [[input pair]] <math>(s_1,s_2)</math> to one of three [[classe]]s <math>y \in \{entailment,\; neutral,\; contradiction\}</math>. Each [[input item]] <math>s_j</math> comes from an input [[space]] <math>\mathcal{S}</math>, which in typical [[NLI task]]s is the [[space]] of [[natural language sentence]]s, i.e. <math>s_j</math> is a [[sequence of word]]s <math>(w_1,\cdots ,w_K)</math> where each [[word]] <math>w_k</math> is from a [[vocabulary]] <math>\mathcal{V}</math>. <P>The [[input]] <math>(s_1, s_2)</math> are referred to as the [[premise]] and [[hypothesis]], respectively, and each [[label]] is interpreted as meaning the [[premise]] entails the [[hypothesis]], the [[premise]] is neutral with respect to the [[hypothesis]], or the [[premise]] contradicts the [[hypothesis]]. The problem is to [[learn]] a [[function]] <math>f_{NLI}(s_1,s_2) \to \{E,N,C\} </math> which generalizes to new [[input pair]]s.
  
 
=== 2018 ===
 
=== 2018 ===

Revision as of 04:28, 13 September 2019

A Natural Language Inference (NLI) Task is an inference task of determining a inferential relationship between natural language hypothesis and premise.



References

2019

2018

2017

2016a

2016b

2009