Paper: DISSECT - DIStributional SEmantics Composition Toolkit

ACL ID P13-4006
Title DISSECT - DIStributional SEmantics Composition Toolkit
Venue Annual Meeting of the Association of Computational Linguistics
Session System Demonstration
Year 2013
Authors

We introduce DISSECT, a toolkit to build and explore computational models of word, phrase and sentence meaning based on the principles of distributional semantics. The toolkit focuses in partic- ular on compositional meaning, and im- plements a number of composition meth- ods that have been proposed in the litera- ture. Furthermore, DISSECT can be use- ful to researchers and practitioners who need models of word meaning (without composition) as well, as it supports var- ious methods to construct distributional semantic spaces, assessing similarity and even evaluating against benchmarks, that are independent of the composition infras- tructure.