A Study on Effectiveness of Syntactic Relationship in Dependence Retrieval Model

نویسندگان

  • Fan Ding
  • Bin Wang
چکیده

To relax the Term Independence Assumption, Term Dependency is introduced and it has improved retrieval precision dramatically. There are two kinds of term dependencies, one is defined by term proximity, and the other is defined by linguistic dependencies. In this paper, we take a comparative study to re-examine these two kinds of term dependencies in dependence language model framework. Syntactic relationships, derived from a dependency parser, Minipar, are used as linguistic term dependencies. Our study shows: 1) Linguistic dependencies get a better result than term proximity. 2) Dependence retrieval model achieves more improvement in sentence-based verbose queries than keywordbased short queries.

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تاریخ انتشار 2008