Dependency-based syntactic-semantic analysis with PropBank and NomBank
(2008) Conference on Computational Natural Language Learning (CoNLL) p.183-187- Abstract
- This paper presents our contribution in the closed track of the 2008 CoNLL Shared Task. To tackle the problem of joint syntactic--semantic analysis, the system relies on a syntactic and a semantic subcomponent. The syntactic model is a bottom-up projective parser using pseudo-projective transformations, and the semantic model uses global
inference mechanisms on top of a pipeline of classifiers. The complete syntactic--semantic output is selected from a candidate pool generated by the subsystems.
The system achieved the top score in the closed challenge: a labeled syntactic accuracy of 89.32%, a labeled semantic F1 of 81.65, and a labeled macro F1 of 85.49.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1229589
- author
- Johansson, Richard LU and Nugues, Pierre LU
- organization
- publishing date
- 2008
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- semantic analysis, dependency parsing, Natural language processing
- host publication
- Proceedings of the 12th Conference on Computational Natural Language Learning (CoNLL)
- pages
- 5 pages
- publisher
- Association for Computational Linguistics
- conference name
- Conference on Computational Natural Language Learning (CoNLL)
- conference dates
- 2008-08-16 - 2008-08-17
- external identifiers
-
- scopus:84865074632
- language
- English
- LU publication?
- yes
- id
- fa25bce8-dec5-4313-aa20-5a6389923563 (old id 1229589)
- alternative location
- http://www.cnts.ua.ac.be/conll2008/pdf/18387.pdf
- date added to LUP
- 2016-04-04 12:24:23
- date last changed
- 2022-04-08 08:50:30
@inproceedings{fa25bce8-dec5-4313-aa20-5a6389923563, abstract = {{This paper presents our contribution in the closed track of the 2008 CoNLL Shared Task. To tackle the problem of joint syntactic--semantic analysis, the system relies on a syntactic and a semantic subcomponent. The syntactic model is a bottom-up projective parser using pseudo-projective transformations, and the semantic model uses global<br/><br> inference mechanisms on top of a pipeline of classifiers. The complete syntactic--semantic output is selected from a candidate pool generated by the subsystems.<br/><br> <br/><br> The system achieved the top score in the closed challenge: a labeled syntactic accuracy of 89.32%, a labeled semantic F1 of 81.65, and a labeled macro F1 of 85.49.}}, author = {{Johansson, Richard and Nugues, Pierre}}, booktitle = {{Proceedings of the 12th Conference on Computational Natural Language Learning (CoNLL)}}, keywords = {{semantic analysis; dependency parsing; Natural language processing}}, language = {{eng}}, pages = {{183--187}}, publisher = {{Association for Computational Linguistics}}, title = {{Dependency-based syntactic-semantic analysis with PropBank and NomBank}}, url = {{http://www.cnts.ua.ac.be/conll2008/pdf/18387.pdf}}, year = {{2008}}, }