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--- nlp:quantifiers [2021/07/02 18:16] – created jmflanig
+++ nlp:quantifiers [2024/08/20 06:07] (current) – [Papers] jmflanig
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 ====== Quantification ======
-  * [[https://arxiv.org/pdf/1909.07521.pdf|Probing Natural Language Inference Models through Semantic Fragments]]
+===== Papers =====
+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://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 =====
+  * [[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
+===== 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]]