Search Results for author: Izumi Haruta

Found 3 papers, 3 papers with code

Combining Event Semantics and Degree Semantics for Natural Language Inference

1 code implementation COLING 2020 Izumi Haruta, Koji Mineshima, Daisuke Bekki

In formal semantics, there are two well-developed semantic frameworks: event semantics, which treats verbs and adverbial modifiers using the notion of event, and degree semantics, which analyzes adjectives and comparatives using the notion of degree.

Natural Language Inference

Logical Inferences with Comparatives and Generalized Quantifiers

1 code implementation ACL 2020 Izumi Haruta, Koji Mineshima, Daisuke Bekki

Comparative constructions pose a challenge in Natural Language Inference (NLI), which is the task of determining whether a text entails a hypothesis.

Automated Theorem Proving Natural Language Inference

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