Paper: A Ranking Model Of Proximal And Structural Text Retrieval Based On Region Algebra

ACL ID P03-2008
Title A Ranking Model Of Proximal And Structural Text Retrieval Based On Region Algebra
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2003
Authors

This paper investigates an application of the ranked region algebra to information retrieval from large scale but unannotated documents. We automatically annotated documents with document structure and semantic tags by using taggers, and re- trieve information by specifying struc- ture represented by tags and words using ranked region algebra. We report in detail what kind of data can be retrieved in the experiments by this approach.