A simple ensemble method for hedge identification

Ferenc P. Szidarovszky, Illés Solt, Domonkos Tikk

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

We present in this paper a simple hedge identification method and its application on biomedical text. The problem at hand is a subtask of CoNLL-2010 shared task. Our solution consists of two classifiers, a statistical one and a CRF model, and a simple combination schema that combines their predictions. We report in detail on each component of our system and discuss the results. We also show that a more sophisticated combination schema could improve the F-score significantly.

Original languageEnglish
Pages144-147
Number of pages4
Publication statusPublished - Dec 1 2010
Event14th Conference on Computational Natural Language Learning, CoNLL 2010: Shared Task - Uppsala, Sweden
Duration: Jul 15 2010Jul 16 2010

Other

Other14th Conference on Computational Natural Language Learning, CoNLL 2010: Shared Task
CountrySweden
CityUppsala
Period7/15/107/16/10

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Linguistics and Language

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    Szidarovszky, F. P., Solt, I., & Tikk, D. (2010). A simple ensemble method for hedge identification. 144-147. Paper presented at 14th Conference on Computational Natural Language Learning, CoNLL 2010: Shared Task, Uppsala, Sweden.