Mapping between Compositional Semantic Representations and Lexical Semantic Resources: Towards Accurate Deep Semantic Parsing

Sergio Roa, Valia Kordoni, Yi Zhang

In: Proceedings of ACL-08: HLT, Short Papers. Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT-2008) June 15-20 Columbus OH United States Seiten 189-192 2008.


This paper introduces a machine learning method based on bayesian networks which is applied to the mapping between deep semantic representations and lexical semantic resources. A probabilistic model comprising Minimal Recursion Semantics (MRS) structures and lexicalist oriented semantic features is acquired. Lexical semantic roles enriching the MRS structures are inferred, which are useful to improve the accuracy of deep semantic parsing. Verb classes inference was also investigated, which, together with lexical semantic information provided by VerbNet and PropBank resources, can be substantially beneficial to the parse disambiguation task.

P08-2048.pdf (pdf, 117 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence