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Dependency-based syntactic-semantic analysis with PropBank and NomBank

Johansson, Richard LU and Nugues, Pierre LU orcid (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:
author
and
organization
publishing date
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}},
}