Published in

Open Publishing Association, Electronic Proceedings in Theoretical Computer Science, (171), p. 113-131

DOI: 10.4204/eptcs.171.11

Links

Tools

Export citation

Search in Google Scholar

From Logical to Distributional Models

Journal article published in 2014 by Anne Preller
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Question mark in circle
Preprint: policy unknown
Upload
Question mark in circle
Postprint: policy unknown
Upload
Question mark in circle
Published version: policy unknown
Upload
Policy details
Data provided by SHERPA/RoMEO

Abstract

The paper relates two variants of semantic models for natural language, logical functional models and compositional distributional vector space models, by transferring the logic and reasoning from the logical to the distributional models. The geometrical operations of quantum logic are reformulated as algebraic operations on vectors. A map from functional models to vector space models makes it possible to compare the meaning of sentences word by word. ; Comment: In Proceedings QPL 2013, arXiv:1412.7917