mwetoolkit+sem: Integrating Word Embeddings in the mwetoolkit for Semantic MWE Processing

@inproceedings{Cordeiro2016mwetoolkitsemIW,
  title={mwetoolkit+sem: Integrating Word Embeddings in the mwetoolkit for Semantic MWE Processing},
  author={Silvio Cordeiro and Carlos Ramisch and Aline Villavicencio},
  booktitle={LREC},
  year={2016}
}
This paper presents mwetoolkit+sem: an extension of the mwetoolkit that estimates semantic compositionality scores for multiword expressions (MWEs) based on word embeddings. First, we describe our implementation of vector-space operations working on distributional vectors. The compositionality score is based on the cosine distance between the MWE vector and the composition of the vectors of its member words. Our generic system can handle several types of word embeddings and MWE lists, and may… CONTINUE READING

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