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Question answering with Textual CBR

  • Mario Lenz
  • André Hübner
  • Mirjam Kunze
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1495)

Abstract

In this paper, we show how case-based reasoning (CBR) techniques can be applied to document retrieval. The fundamental idea is to automatically convert textual documents into appropriate case representations and use these to retrieve relevant documents in a problem situation. In contrast to Information Retrieval techniques, we assume that a Textual CBR system focuses on a particular domain and thus can employ knowledge from that domain. We give an overview over our approach to Textual CBR, describe a particular application project, and evaluate the performance of the system.

Keywords

Case-Based Reasoning Textual CBR Information Retrieval 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Mario Lenz
    • 1
  • André Hübner
    • 1
  • Mirjam Kunze
    • 1
  1. 1.Dept. of Computer ScienceHumboldt University BerlinBerlin

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