Paper: New Directions in Vector Space Models of Meaning

ACL ID P14-6005
Title New Directions in Vector Space Models of Meaning
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

1 Abstract Symbolic approaches have dominated NLP as a means to model syntactic and semantic aspects of natural language. While powerful inferential tools exist for such models, they suffer from an inabil- ity to capture correlation between words and to provide a continuous model for word, phrase, and document similarity. Distributed representations are one mechanism to overcome these constraints. This tutorial will supply NLP researchers with