Deeper syntax for better semantic parsing

Olivier Michalon (1) , Corentin Ribeyre (2) , Marie Candito (3) , Alexis Nasr (1)

1 LIF - Laboratoire d'informatique Fondamentale de Marseille
2 UNIGE - Université de Genève = University of Geneva
3 ALPAGE - Analyse Linguistique Profonde à Grande Echelle ; Large-scale deep linguistic processing

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.

Domaines: Traitement du texte et du document

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. ⟨hal-01391678⟩