Encoding Generalized Quantifiers in Dependency-based Compositional Semantics
Code (0)
등록된 구현이 없습니다.
Tasks
Natural Language InferenceSimilar Papers 제목 키워드 기반
Logical Inferences with Comparatives and Generalized Quantifiers
Comparative constructions pose a challenge in Natural Language Inference (NLI), which is the task of determining whether a text entails a hypothesis. Comparatives are structurally complex in that they interact with other…
Automated Theorem ProvingNatural Language InferenceFuzzy Generalised Quantifiers for Natural Language in Categorical Compositional Distributional Semantics
Recent work on compositional distributional models shows that bialgebras over finite dimensional vector spaces can be applied to treat generalised quantifiers for natural language. That technique requires one to construc…
A toy distributional model for fuzzy generalised quantifiers
Recent work in compositional distributional semantics showed how bialgebras model generalised quantifiers of natural language. That technique requires working with vector space over power sets of bases, and therefore is …
modelQuantifier Scope in Categorical Compositional Distributional Semantics
In previous work with J. Hedges, we formalised a generalised quantifiers theory of natural language in categorical compositional distributional semantics with the help of bialgebras. In this paper, we show how quantifier…
A Compositional Bayesian Semantics for Natural Language
We propose a compositional Bayesian semantics that interprets declarative sentences in a natural language by assigning them probability conditions. These are conditional probabilities that estimate the likelihood that a …
Sentence