Paper: Automatic Interpretation of Noun Compounds Using WordNet Similarity

ACL ID I05-1082
Title Automatic Interpretation of Noun Compounds Using WordNet Similarity
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2005
Authors
  • Su Nam Kim (University of Illinois at Chicago, Chicago IL; University of Melbourne, Melbourne Australia)
  • Timothy Baldwin (University of Melbourne, Melbourne Australia)

The paper introduces a method for interpreting novel noun compounds with semantic relations. The method is built around word similarity with pre- tagged noun compounds, based on WordNet::Similarity. Over 1,088 training instances and 1,081 test instances from the Wall Street Journal in the Penn Treebank, the proposed method was able to correctly classify 53.3% of the test noun compounds. We also investigated the relative contribution of the modi- fier and the head noun in noun compounds of different semantic types.