Table of Contents
Quantification
Papers
Monotonicity
Datasets
People
Related Pages
Quantification
Papers
See also
ACL Anthology - Quantification
.
Hobbs 1983 - An Improper Treatment of Quantification in Ordinary English
Herbelot & Vecchi 2016 - Many speakers, many worlds: Interannotator variations in the quantification of feature norms
Bunt et al 2018 - Towards an ISO Standard for the Annotation of Quantification
2019 - Probing Natural Language Inference Models through Semantic Fragments
Pustejovsky et al 2019 - Modeling Quantification and Scope in Abstract Meaning Representations
Chen et al 2019 - QTUNA: A Corpus for Understanding How Speakers Use Quantification
QuantML
Blunt 2019 - A Semantic Annotation Scheme for Quantification
Introduces QuantML
Bunt 2020 - Annotation of Quantification: The Current State of ISO 24617-12
QuantML annotation scheme
Monotonicity
Danescu-Niculescu-Mizil et al 2009 - Without a ‘doubt’? Unsupervised discovery of downward-entailing operators
Yanaka et al 2020 - Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?
Talks about upward and downward monotonicity
Datasets
QTUNA:
paper
QUANTIT-CLIC:
website
Quantifiers in language and vision.
Aurelie Herbelot - Resources
Various quantification datasets
People
Aurelie Herbelot
Related Pages
Logic in NLP
Negation
Semantics