A robust combination strategy for semantic role labeling

Lluís Màrquez, Mihai Surdeanu, Pere Comas, Jordi Turmo

Research output: Contribution to conferencePaper

10 Scopus citations

Abstract

This paper focuses on semantic role labeling using automatically-generated syntactic information. A simple and robust strategy for system combination is presented, which allows to partially recover from input parsing errors and to significantly boost results of individual systems. This combination scheme is also very flexible since the individual systems are not required to provide any information other than their solution. Extensive experimental evaluation in the CoNLL- 2005 shared task framework supports our previous claims. The proposed architecture outperforms the best results reported in that evaluation exercise.

Original languageEnglish (US)
Pages644-651
Number of pages8
StatePublished - Dec 1 2005
Externally publishedYes
EventHuman Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT - Vancouver, BC, Canada
Duration: Oct 6 2005Oct 8 2005

Other

OtherHuman Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT
CountryCanada
CityVancouver, BC
Period10/6/0510/8/05

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems

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    Màrquez, L., Surdeanu, M., Comas, P., & Turmo, J. (2005). A robust combination strategy for semantic role labeling. 644-651. Paper presented at Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT, Vancouver, BC, Canada.