DIStributional SEmantics Composition Tookit (DISSECT) System

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A DIStributional SEmantics Composition Tookit (DISSECT) System is a Word Embedding System that can build and compose distributional semantic representations from co-occurrence matrices.



References

2014a

2014b

  • (Cimec, 2014) ⇒ http://clic.cimec.unitn.it/composes/toolkit/introduction.html
    • QUOTE: You can use DISSECT to build and explore automated models of word, phrase and sentence meaning based on the principles of distributional semantics. The toolkit focuses in particular on compositional meaning, that is, it provides functions to derive the meaning of phrases and sentences from the meanings of their parts (e.g., derive a meaning representation for black vomit from the representations of black and vomit). However, we hope that DISSECT will also be useful to researchers and practitioners who need models of word meaning (without composition), as it supports various methods to construct semantic spaces, assessing similarity and even evaluating against benchmarks that are independent of the composition infrastructure.

2014c

2013a

2013b