Paper: Word or Phrase? Learning Which Unit to Stress for Information Retrieval

ACL ID P09-1118
Title Word or Phrase? Learning Which Unit to Stress for Information Retrieval
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2009
Authors

The use of phrases in retrieval models has been proven to be helpful in the literature, but no particular research addresses the problem of discriminating phrases that are likely to degrade the retrieval performance from the ones that do not. In this paper, we present a retrieval framework that utilizes both words and phrases flexibly, followed by a general learning-to-rank method for learning the potential contribution of a phrase in retrieval. We also present use- ful features that reflect the compositional- ity and discriminative power of a phrase and its constituent words for optimizing the weights of phrase use in phrase-based retrieval models. Experimental results on the TREC collections show that our pro- posed method is effective.