Demonstrating an interactive semantic role labeling system

Vasin Punyakanok, Dan Roth, Mark Sammons, Wen Tau Yih

Research output: Contribution to conferencePaper

Abstract

Semantic Role Labeling (SRL) is the task of performing a shallow semantic analysis of text (i.e., Who did What to Whom, When, Where, How). This is a crucial step toward deeper understanding of text and has many immediate applications. Preprocessed information on text, mostly syntactic, has been shown to be important for SRL. Current research focuses on improving the performance assuming that this lower level information is given without any attention to the overall efficiency of the final system, although minimizing execution time is a necessity in order to support real world applications. The goal of our demonstration is to present an interactive SRL system that can be used both as a research and an educational tool. Its architecture is based on the state-of-theart system (the top system in the 2005 CoNLL shared task), modified to process raw text through the addition of lower level processors, while achieving effective real time performance.

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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    Punyakanok, V., Roth, D., Sammons, M., & Yih, W. T. (2005). Demonstrating an interactive semantic role labeling system. 6-7. 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.