Leveraging Lexical Resources for the Detection of Event Relations

نویسندگان

  • Martha Palmer
  • Jena D. Hwang
  • Susan Windisch Brown
  • Karin Kipper Schuler
  • Arrick Lanfranchi
چکیده

This paper discusses the benefits and limitations of drawing conceptual inferences based on entries in a rich verb lexicon, VerbNet. Automatic sense tagging and semantic role labeling can be used to match predicate arguments structures in a sentence with specific syntactic and semantic frames from the lexicon, allowing conceptual inferences to be drawn. However, as with any hand-crafted resource, the entries do not always contain the desired inferences. Links to an ontology are suggested as a means of broadening the range of possible inferences.

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تاریخ انتشار 2009