A reliable indexing method for a practical QA system

  • Authors:
  • Harksoo Kim;Jungyun Seo

  • Affiliations:
  • Diquest Inc., Seoul, Korea;Sogang University, Seoul, Korea

  • Venue:
  • MultiSumQA '02 proceedings of the 2002 conference on multilingual summarization and question answering - Volume 19
  • Year:
  • 2002

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Abstract

We propose a fast and reliable Question-answering (QA) system in Korean, which uses a predictive answer indexer based on 2-pass scoring method. The indexing process is as follows. The predictive answer indexer first extracts all answer candidates in a document. Then, using 2-pass scoring method, it gives scores to the adjacent content words that are closely related with each answer candidate. Next, it stores the weighted content words with each candidate into a database. Using this technique, along with a complementary analysis of questions, the proposed QA system saves response time and enhances the precision.