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

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=== 2017 ===
 
=== 2017 ===
 
* ([[2017_AnOverviewofNaturalLanguageInfe|Chatzikyriakidis et al., 2017]]) ⇒ [[author::Stergios Chatzikyriakidis]], [[author::Robin Cooper]], [[author::Simon Dobnik]], and [[author::Staffan Larsson]]. ([[year::2017]]). “[https://www.aclweb.org/anthology/W17-7203 An Overview of Natural Language Inference Data Collection: The Way Forward?].” In: [[Proceedings of the Computing Natural Language Inference Workshop]].
 
* ([[2017_AnOverviewofNaturalLanguageInfe|Chatzikyriakidis et al., 2017]]) ⇒ [[author::Stergios Chatzikyriakidis]], [[author::Robin Cooper]], [[author::Simon Dobnik]], and [[author::Staffan Larsson]]. ([[year::2017]]). “[https://www.aclweb.org/anthology/W17-7203 An Overview of Natural Language Inference Data Collection: The Way Forward?].” In: [[Proceedings of the Computing Natural Language Inference Workshop]].
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** QUOTE: Indeed, [[NLI]] is considered by many [[researcher]]s to be the crux of [[computational semantic]]s. [[This paper]] is about the [[dataset]]s created for this need. In particular, [[we]] discuss the most common [[NLI resource]]s arguing that all these a) fail to capture the wealth of [[inferential mechanism]]s present in [[NLI]] and b) seem to be driven by the [[dominant discourse]] in the [[field]] at the [[time of their creation]].  In light of these [[observation]]s, we want to discuss the [[requirement]]s that an adequate [[NLI platform]] must satisfy both in terms of the range of [[inference pattern]]s found in reasoning with [[NL]] as well as the range of the [[data collection mechanism]]s that are needed in order to acquire this range of [[inferential pattern]]s.
  
 
=== 2016a ===
 
=== 2016a ===

Revision as of 04:04, 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