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AnyQ: answer set based information retrieval system

Authors:

Hyo-Jung Oh,

Myung-Gil Jang,

Moon-Soo ChangAuthors Info & Claims

AsianIR '03: Proceedings of the sixth international workshop on Information retrieval with Asian languages - Volume 11

Pages 92 - 99

https://doi.org/10.3115/1118935.1118947

Published: 07 July 2003 Publication History

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Abstract

The accuracy of IR result continues to grow on importance as exponential growth of WWW, and it is therefore increasingly important that appropriate retrieval technologies be developed for the web. We explore a new type of IR, "answer set based IR", and its operational experience. Our proposed approach attempts to provide high quality answer documents to user by maintaining a knowledge base with expected queries and corresponding answer document. We will elaborate on our architecture and the experimental results.

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M. G. Jang, H. J. Oh, M. S. Chang, et al, "Semantic Based Information Retrieval", Korea Information Science Society review, 19(10):7--18, October 2001.

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AnyQ: answer set based information retrieval system
1. Information systems

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AsianIR '03: Proceedings of the sixth international workshop on Information retrieval with Asian languages - Volume 11

July 2003

175 pages

Program Chair:
Jun Adachi
National Institute of Informatics

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Association for Computational Linguistics

United States

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Published: 07 July 2003

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Recommendations

Identifying visual attributes for object recognition from text and taxonomy

Learning attribute relation in attribute-based zero-shot classification

Attribute-Based Detection of Unfamiliar Classes with Humans in the Loop

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