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
- Venue:
- IWPT
- SIG:
- SIGPARSE
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 72–77
- Language:
- URL:
- https://aclanthology.org/W17-6311
- DOI:
- Cite (ACL):
- Sebastien Delecraz, Alexis Nasr, Frederic Bechet, and Benoit Favre. 2017. Correcting prepositional phrase attachments using multimodal corpora. In Proceedings of the 15th International Conference on Parsing Technologies, pages 72–77, Pisa, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Correcting prepositional phrase attachments using multimodal corpora (Delecraz et al., IWPT 2017)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/W17-6311.pdf
- Data
- Flickr30k