Proceedings of the Korean Society for Language and Information Conference (한국언어정보학회:학술대회논문집)
- 2007.11a
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- Pages.349-357
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- 2007
Acquisition of Named-Entity-Related Relations for Searching
- Nguyen, Tri-Thanh (Japan Advanced Institute of Science and Technology) ;
- Shimazu, Akira (Japan Advanced Institute of Science and Technology)
- Published : 2007.11.01
Abstract
Named entities (NEs) are important in many Natural Language Processing (NLP) applications, and discovering NE-related relations in texts may be beneficial for these applications. This paper proposes a method to extract the ISA relation between a "named entity" and its category, and an IS-RELATED-TO relation between the category and its related object. Based on the pattern extraction algorithm "Person Category Extraction" (PCE), we extend it for solving our problem. Our experiments on Wall Street Journal (WSJ) corpus show promising results. We also demonstrate a possible application of these relations by utilizing them for semantic search.
Keywords
- Named-entity-related relations extraction;
- information extraction;
- pattern extraction;
- algorithm;
- semantic search