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Semantic QA for Encyclopaedic Questions: EQUAL in GikiCLEF

  • Iustin Dornescu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6241)

Abstract

This paper presents a new question answering (QA) approach and a prototype system, EQUAL, which relies on structural information from Wikipedia to answer open-list questions. The system achieved the highest score amongst the participants in the GikiCLEF 2009 task. Unlike the standard textual QA approach, EQUAL does not rely on identifying the answer within a text snippet by using keyword retrieval. Instead, it explores the Wikipedia page graph, extracting and aggregating information from multiple documents and enforcing semantic constraints. The challenges for such an approach and an error analysis are also discussed.

Keywords

Question Answering Semantic Constraint Question Answering System Candidate Answer Automate Inference 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Iustin Dornescu
    • 1
  1. 1.University of WolverhamptonUK

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