Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser

Higher-order logical inference with compositional semantics

Polish evaluation dataset for compositional distributional semantics models

The paper presents a procedure of building an evaluation dataset. for the validation of compositional distributional semantics models estimated for languages other than English. The procedure generally builds on steps de…

Compositional Semantics and Inference System for Temporal Order based on Japanese CCG

Natural Language Inference (NLI) is the task of determining whether a premise entails a hypothesis. NLI with temporal order is a challenging task because tense and aspect are complex linguistic phenomena involving intera…

Higher-Order DisCoCat (Peirce-Lambek-Montague semantics)

We propose a new definition of higher-order DisCoCat (categorical compositional distributional) models where the meaning of a word is not a diagram, but a diagram-valued higher-order function. Our models can be seen as a…

Toward a Functional Geometric Algebra for Natural Language Semantics

Distributional and neural approaches to natural language semantics have been built almost exclusively on conventional linear algebra: vectors, matrices, tensors, and the operations that accompany them. These methods have…