Deeper syntax for better semantic parsing

Olivier Michalon, Corentin Ribeyre, Marie Candito, Alexis Nasr


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.
Anthology ID:
C16-1040
Volume:
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
Month:
December
Year:
2016
Address:
Osaka, Japan
Editors:
Yuji Matsumoto, Rashmi Prasad
Venue:
COLING
SIG:
Publisher:
The COLING 2016 Organizing Committee
Note:
Pages:
409–420
Language:
URL:
https://aclanthology.org/C16-1040
DOI:
Bibkey:
Cite (ACL):
Olivier Michalon, Corentin Ribeyre, Marie Candito, and Alexis Nasr. 2016. Deeper syntax for better semantic parsing. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 409–420, Osaka, Japan. The COLING 2016 Organizing Committee.
Cite (Informal):
Deeper syntax for better semantic parsing (Michalon et al., COLING 2016)
Copy Citation:
PDF:
https://aclanthology.org/C16-1040.pdf
Data
FrameNet