Deeper syntax for better semantic parsing

Abstract : Syntax plays an important role in the task of predicting the semantic structure of a sentence. But syntactic phenomena such as alternations, control and raising tend to obfuscate the relation between syntax and semantics. In this paper we predict the semantic structure of a sentence using a deeper syntax than what is usually done. This deep syntactic representation abstracts away from purely syntactic phenomena and proposes a structural organization of the sentence that is closer to the semantic representation. Experiments conducted on a French corpus annotated with semantic frames showed that a semantic parser reaches better performances with such a deep syntactic input.
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Communication dans un congrès
Coling 2016 - 26th International Conference on Computational Linguistics, Dec 2016, Osaka, Japan. The 26th International Conference on Computational Linguistics Proceedings of COLING 2016: Technical Papers, 2016
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  • HAL Id : hal-01391678, version 1

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Olivier Michalon, Corentin Ribeyre, Marie Candito, Alexis Nasr. Deeper syntax for better semantic parsing. Coling 2016 - 26th International Conference on Computational Linguistics, Dec 2016, Osaka, Japan. The 26th International Conference on Computational Linguistics Proceedings of COLING 2016: Technical Papers, 2016. 〈hal-01391678〉

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