Leveraging Lexical Resources for the Detection of Event Relations

Martha Palmer, Jena D. Hwang, Susan Windisch Brown, Karin Kipper Schuler and Arrick Lanfranchi

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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