Paper: Detecting Compositionality in Multi-Word Expressions.

ACL ID P09-2017
Title Detecting Compositionality in Multi-Word Expressions.
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2009

Identifying whether a multi-word expres- sion (MWE) is compositional or not is im- portant for numerous NLP applications. Sense induction can partition the context of MWEs into semantic uses and there- fore aid in deciding compositionality. We propose an unsupervised system to ex- plore this hypothesis on compound nom- inals, proper names and adjective-noun constructions, and evaluate the contribu- tion of sense induction. The evaluation set is derived from WordNet in a semi- supervised way. Graph connectivity mea- sures are employed for unsupervised pa- rameter tuning.