Correcting prepositional phrase attachments using multimodal corpora

Sebastien Delecraz, Alexis Nasr, Frederic Bechet, Benoit Favre


Abstract
PP-attachments are an important source of errors in parsing natural language. We propose in this article to use data coming from a multimodal corpus, combining textual, visual and conceptual information, as well as a correction strategy, to propose alternative attachments in the output of a parser.
Anthology ID:
W17-6311
Volume:
Proceedings of the 15th International Conference on Parsing Technologies
Month:
September
Year:
2017
Address:
Pisa, Italy
Venues:
IWPT | WS
SIG:
SIGPARSE
Publisher:
Association for Computational Linguistics
Note:
Pages:
72–77
Language:
URL:
https://www.aclweb.org/anthology/W17-6311
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/W17-6311.pdf