Challenges for Distributional Compositional Semantics

TL;DR

This paper reviews the current state and challenges in distributional compositional semantics, emphasizing the need for theories on quantifiers and intensional semantics, and highlighting evaluation issues in applications like textual entailment and translation.

Contribution

It identifies key areas such as quantifiers and intensional semantics as focus points for advancing distributional compositional semantics and discusses the importance of developing evaluation methods.

Findings

Highlighting the importance of quantifiers and intensional semantics

Identifying evaluation as a major challenge

Suggesting applications in textual entailment and translation

Abstract

This paper summarises the current state-of-the art in the study of compositionality in distributional semantics, and major challenges for this area. We single out generalised quantifiers and intensional semantics as areas on which to focus attention for the development of the theory. Once suitable theories have been developed, algorithms will be needed to apply the theory to tasks. Evaluation is a major problem; we single out application to recognising textual entailment and machine translation for this purpose.