5 citations · 27 across the 16 of their papers we have counts for
3 papers · 2 filters
Combining Event Semantics and Degree Semantics for Natural Language Inference
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,…
Logical Inferences with Comparatives and Generalized Quantifiers
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. Comparatives are structurally…
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?
Hitomi Yanaka, Koji Mineshima, Daisuke Bekki +1
Despite the success of language models using neural networks, it remains unclear to what extent neural models have the generalization ability to perform inferences. In this paper,…