Dependency-based semantic role labeling of PropBank
Johansson, Richard LU and Nugues, Pierre LU
(2008)
Empirical Methods in Natural Language Processing
p.69-78
- Abstract
- We present a PropBank semantic role labeling system for English that is integrated with a dependency parser.
To tackle the problem of joint syntactic-semantic analysis, the system relies on a syntactic and a semantic subcomponent. The syntactic model is a 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.
We evaluate the system on the CoNLL-2005 test sets using segment-based and dependency-based metrics. Using the segment-based CoNLL-2005 metric, our system achieves a near state-of-the-art F1 figure of 79.90 on... (More) - We present a PropBank semantic role labeling system for English that is integrated with a dependency parser.
To tackle the problem of joint syntactic-semantic analysis, the system relies on a syntactic and a semantic subcomponent. The syntactic model is a 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.
We evaluate the system on the CoNLL-2005 test sets using segment-based and dependency-based metrics. Using the segment-based CoNLL-2005 metric, our system achieves a near state-of-the-art F1 figure of 79.90 on the WSJ test set, or 80.67 if punctuation is treated consistently. Using a dependency-based metric, the F1 figure of our system is 85.93 on the WSJ test set from CoNLL-2008 and 73.43 on the Brown test set. Our system is the first dependency-based semantic role labeler for PropBank that rivals constituent-based systems in terms of performance. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1229581
- author
- Johansson, Richard
LU
and Nugues, Pierre
LU
- organization
- publishing date
- 2008
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- dependency parsing, Natural language processing, PropBank, semantic analysis
- host publication
- [Host publication title missing]
- pages
- 10 pages
- publisher
- Association for Computational Linguistics
- conference name
- Empirical Methods in Natural Language Processing
- conference location
- Honolulu, United States
- conference dates
- 2008-10-25 - 2008-10-27
- external identifiers
-
- scopus:78049381722
- language
- English
- LU publication?
- yes
- id
- a491d4f2-25d3-4ed7-b04b-3a06742f77a7 (old id 1229581)
- alternative location
- http://www.aclweb.org/anthology-new/D/D08/D08-1008.pdf
- date added to LUP
- 2016-04-04 10:12:54
- date last changed
- 2022-04-23 22:43:04
@inproceedings{a491d4f2-25d3-4ed7-b04b-3a06742f77a7,
abstract = {{We present a PropBank semantic role labeling system for English that is integrated with a dependency parser.<br/><br>
To tackle the problem of joint syntactic-semantic analysis, the system relies on a syntactic and a semantic subcomponent. The syntactic model is a 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.<br/><br>
<br/><br>
We evaluate the system on the CoNLL-2005 test sets using segment-based and dependency-based metrics. Using the segment-based CoNLL-2005 metric, our system achieves a near state-of-the-art F1 figure of 79.90 on the WSJ test set, or 80.67 if punctuation is treated consistently. Using a dependency-based metric, the F1 figure of our system is 85.93 on the WSJ test set from CoNLL-2008 and 73.43 on the Brown test set. Our system is the first dependency-based semantic role labeler for PropBank that rivals constituent-based systems in terms of performance.}},
author = {{Johansson, Richard and Nugues, Pierre}},
booktitle = {{[Host publication title missing]}},
keywords = {{dependency parsing; Natural language processing; PropBank; semantic analysis}},
language = {{eng}},
pages = {{69--78}},
publisher = {{Association for Computational Linguistics}},
title = {{Dependency-based semantic role labeling of PropBank}},
url = {{http://www.aclweb.org/anthology-new/D/D08/D08-1008.pdf}},
year = {{2008}},
}