Paper: Improving the Interpretation of Noun Phrases with Cross-linguistic Information

ACL ID P07-1072
Title Improving the Interpretation of Noun Phrases with Cross-linguistic Information
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors
  • Roxana Gîrju (University of Illinois at Urbana-Champaign, Urbana IL)

This paper addresses the automatic classifi- cation of semantic relations in noun phrases based on cross-linguistic evidence from a set of five Romance languages. A set of novel semantic and contextual English– Romance NP features is derived based on empirical observations on the distribution of the syntax and meaning of noun phrases on two corpora of different genre (Europarl and CLUVI). The features were employed in a Support Vector Machines algorithm which achieved an accuracy of 77.9% (Eu- roparl) and 74.31% (CLUVI), an improve- ment compared with two state-of-the-art models reported in the literature.