Evaluating Dependency Representation for Event Extraction

  • Miwa M
  • Pyysalo S
  • Hara T
 et al. 
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The detailed analyses of sentence struc-ture provided by parsers have been applied to address several information extraction tasks. In a recent bio-molecular event ex-traction task, state-of-the-art performance was achieved by systems building specif-ically on dependency representations of parser output. While intrinsic evalua-tions have shown significant advances in both general and domain-specific pars-ing, the question of how these translate into practical advantage is seldom con-sidered. In this paper, we analyze how event extraction performance is affected by parser and dependency representation, further considering the relation between intrinsic evaluation and performance at the extraction task. We find that good intrinsic evaluation results do not always imply good extraction performance, and that the types and structures of differ-ent dependency representations have spe-cific advantages and disadvantages for the event extraction task.

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  • SCOPUS: 2-s2.0-80053226733
  • SGR: 80053226733
  • PUI: 362670173


  • Makoto Miwa

  • Sampo Pyysalo

  • Tadayoshi Hara

  • Jun 'ichi Tsujii

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