CUNIT: A semantic role labeling system for modern standard Arabic

Mona Diab, Alessandro Moschitti, Daniele Pighin

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

In this paper, we present a system for Arabic semantic role labeling (SRL) based on SVMs and standard features. The system is evaluated on the released SEMEVAL 2007 development and test data. The results show an F-=1 score of 94.06 on argument boundary detection and an overall F-=1 score of 81.43 on the complete semantic role labeling task using gold parse trees.

Original languageEnglish
Pages133-136
Number of pages4
Publication statusPublished - 1 Jan 2007
Event4th International Workshop on Semantic Evaluations, SemEval 2007 - Prague, Czech Republic
Duration: 23 Jun 200724 Jun 2007

Other

Other4th International Workshop on Semantic Evaluations, SemEval 2007
CountryCzech Republic
CityPrague
Period23/6/0724/6/07

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ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Theoretical Computer Science

Cite this

Diab, M., Moschitti, A., & Pighin, D. (2007). CUNIT: A semantic role labeling system for modern standard Arabic. 133-136. Paper presented at 4th International Workshop on Semantic Evaluations, SemEval 2007, Prague, Czech Republic.