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14

ACL
2003

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A Ranking Model of Proximal and Structural Text Retrieval Based on Region Algebra

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A Ranking Model of Proximal and Structural Text Retrieval Based on Region Algebra

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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 retrieve information by specifying structure 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.

Katsuya Masuda

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ACL 2003 | ACL 2007 | Ranked Region Algebra | Semantic Tags | Unannotated Documents |

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Added	31 Oct 2010
Updated	31 Oct 2010
Type	Conference
Year	2003
Where	ACL
Authors	Katsuya Masuda

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