Polyglot Semantic Role Labeling

Phoebe Mulcaire, Swabha Swayamdipta, Noah A. Smith


Abstract
Previous approaches to multilingual semantic dependency parsing treat languages independently, without exploiting the similarities between semantic structures across languages. We experiment with a new approach where we combine resources from different languages in the CoNLL 2009 shared task to build a single polyglot semantic dependency parser. Notwithstanding the absence of parallel data, and the dissimilarity in annotations between languages, our approach results in improvement in parsing performance on several languages over a monolingual baseline. Analysis of the polyglot models’ performance provides a new understanding of the similarities and differences between languages in the shared task.
Anthology ID:
P18-2106
Volume:
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Month:
July
Year:
2018
Address:
Melbourne, Australia
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
667–672
Language:
URL:
https://aclanthology.org/P18-2106
DOI:
10.18653/v1/P18-2106
Bibkey:
Cite (ACL):
Phoebe Mulcaire, Swabha Swayamdipta, and Noah A. Smith. 2018. Polyglot Semantic Role Labeling. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 667–672, Melbourne, Australia. Association for Computational Linguistics.
Cite (Informal):
Polyglot Semantic Role Labeling (Mulcaire et al., ACL 2018)
Copy Citation:
PDF:
https://aclanthology.org/P18-2106.pdf
Video:
 https://vimeo.com/285805925
Data
Universal Dependencies