2013 DISSECTDIStributionalSEmanticsC

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Subject Headings: Word Embedding System; DISSECT System.

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Abstract

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 particular on compositional meaning, and implements a number of composition methods that have been proposed in the literature. Furthermore, DISSECT can be useful to researchers and practitioners who need models of word meaning (without composition) as well, as it supports various methods to construct distributional semantic spaces, assessing similarity and even evaluating against benchmarks, that are independent of the composition infrastructure.

References

BibTeX

@inproceedings{2013_DISSECTDIStributionalSEmanticsC,
  author    = {Georgiana Dinu and
               Nghia The Pham and
               Marco Baroni},
  title     = {DISSECT - DIStributional Semantics Composition Toolkit},
  booktitle = {Proceedings of the Conference System Demonstrations - 51st Annual Meeting of the
               Association for Computational Linguistics (ACL 2013)},
  pages     = {31--36},
  publisher = {The Association for Computer Linguistics},
  year      = {2013},
  url       = {https://www.aclweb.org/anthology/P13-4006/},
}


 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2013 DISSECTDIStributionalSEmanticsCMarco Baroni
Georgiana Dinu
Nghia The Pham
DISSECT - DIStributional SEmantics Composition Toolkit2013