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nlp:quantifiers [2021/10/20 04:54] – [Papers] jmflanignlp:quantifiers [2024/08/20 06:07] (current) – [Papers] jmflanig
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 See also [[https://aclanthology.org/search/?q=quantification|ACL Anthology - Quantification]]. See also [[https://aclanthology.org/search/?q=quantification|ACL Anthology - Quantification]].
  
 +  * [[https://aclanthology.org/P83-1009.pdf|Hobbs 1983 - An Improper Treatment of Quantification in Ordinary English]]
 +  * [[https://aclanthology.org/2016.lilt-13.2.pdf|Herbelot & Vecchi 2016 - Many speakers, many worlds: Interannotator variations in the quantification of feature norms]]
 +  * [[https://aclanthology.org/L18-1282.pdf|Bunt et al 2018 - Towards an ISO Standard for the Annotation of Quantification]]
   * [[https://arxiv.org/pdf/1909.07521.pdf|2019 - Probing Natural Language Inference Models through Semantic Fragments]]   * [[https://arxiv.org/pdf/1909.07521.pdf|2019 - Probing Natural Language Inference Models through Semantic Fragments]]
-  * **[[https://aclanthology.org/2020.isa-1.1.pdf|Bunt 2020 - Annotation of Quantification: The Current State of ISO 24617-12]]** QuantML annotation scheme+  * [[https://www.aclweb.org/anthology/W19-3303.pdf|Pustejovsky et al 2019 - Modeling Quantification and Scope in Abstract Meaning Representations]] 
 +  * [[https://aclanthology.org/W19-8616.pdf|Chen et al 2019 - QTUNA: A Corpus for Understanding How Speakers Use Quantification]] 
 +  * QuantML 
 +    * [[https://aclanthology.org/W19-0403.pdf|Blunt 2019 - A Semantic Annotation Scheme for Quantification]] Introduces QuantML 
 +    * **[[https://aclanthology.org/2020.isa-1.1.pdf|Bunt 2020 - Annotation of Quantification: The Current State of ISO 24617-12]]** QuantML annotation scheme 
  
 ===== Monotonicity ===== ===== Monotonicity =====
 +  * [[https://aclanthology.org/N09-1016.pdf|Danescu-Niculescu-Mizil et al 2009 - Without a ‘doubt’? Unsupervised discovery of downward-entailing operators]]
   * [[https://aclanthology.org/2020.acl-main.543.pdf|Yanaka et al 2020 - Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?]] Talks about upward and downward monotonicity   * [[https://aclanthology.org/2020.acl-main.543.pdf|Yanaka et al 2020 - Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?]] Talks about upward and downward monotonicity
 +
 +===== Datasets =====
 +  * QTUNA: [[https://aclanthology.org/W19-8616.pdf|paper]]
 +  * QUANTIT-CLIC: [[https://quantit-clic.github.io/|website]] Quantifiers in language and vision.
 +  * [[https://aurelieherbelot.net/research/resources/|Aurelie Herbelot - Resources]] Various quantification datasets
 +
 +
 +===== People =====
 +  * [[https://scholar.google.com/citations?user=Sby4DYoAAAAJ&hl=en|Aurelie Herbelot]]
 +
 +===== Related Pages =====
 +  * [[Logic in NLP]]
 +  * [[Negation]]
 +  * [[Semantics]]
  
nlp/quantifiers.1634705699.txt.gz · Last modified: 2023/06/15 07:36 (external edit)

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