A High Performance Question-Answering System Based on a Two-Pass Answer Indexing and Lexico-Syntactic Pattern Matching(Natural Language Processing)

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概要

• 論文の詳細を見る

• To implement a fast and reliable question-answering system in Korean, we propose a two-pass answer indexer using co-occurrence information between answer candidates and adjacent content words. The two-pass indexer scans documents twice for obtaining local scores and global scores. Then, the two-pass indexer calculates the degrees of association between answer candidates and co-occurring content words. Using this technique, the proposed QA system shortens the response time and enhances the precision.

• 一般社団法人電子情報通信学会の論文
• 2004-12-01

著者

• Seo Jungyun

  Dept. Of Computer Science And Program Of Integrated Biotechnology Sogang University

• Seo Jungyun

  Dept. Of Computer Science Sogang University

• KIM Harksoo

  Diquest Inc.

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• An Integrated Dialogue Analysis Model for Determining Speech Acts and Discourse Structures(Natural Language Processing)

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