Idiom Token Classification using Sentential Distributed Semantics

@inproceedings{Salton2016IdiomTC,
  title={Idiom Token Classification using Sentential Distributed Semantics},
  author={Giancarlo D. Salton and Robert J. Ross and John D. Kelleher},
  booktitle={ACL},
  year={2016}
}
Idiom token classification is the task of deciding for a set of potentially idiomatic phrases whether each occurrence of a phrase is a literal or idiomatic usage of the phrase. In this work we explore the use of Skip-Thought Vectors to create distributed representations that encode features that are predictive with respect to idiom token classification. We show that classifiers using these representations have competitive performance compared with the state of the art in idiom token… CONTINUE READING

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