Abstract
Identifying whether a multi-word expression (MWE) is compositional or not is important for numerous NLP applications. Sense induction can partition the context of MWEs into semantic uses and therefore aid in deciding compositionality. We propose an unsupervised system to explore this hypothesis on compound nominals, proper names and adjective-noun constructions, and evaluate the contribution of sense induction. The evaluation set is derived from WordNet in a semi-supervised way. Graph connectivity measures are employed for unsupervised parameter tuning. © 2009 ACL and AFNLP.
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CITATION STYLE
Korkontzelos, I., & Manandhar, S. (2009). Detecting compositionality in multi-word expressions. In ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf. (pp. 65–68). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1667583.1667605
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