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Language Independent Answer Prediction from the Web

  • Alejandro Figueroa
  • Günter Neumann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4139)

Abstract

This work presents a strategy that aims to extract and rank predicted answers from the web based on the eigenvalues of a specially designed matrix. This matrix models the strength of the syntactic relations between words by means of the frequency of their relative positions in sentences extracted from web snippets. We assess the rank of predicted answers by extracting answer candidates for three different kinds of questions. Due to the low dependence upon a particular language, we also apply our strategy to questions from four different languages: English, German, Spanish, and Portuguese.

Keywords

Search Engine Query Term Query Expansion Question Answering Exact Answer 
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 2006

Authors and Affiliations

  • Alejandro Figueroa
    • 1
  • Günter Neumann
    • 1
  1. 1.DFKIDeutsches Forschungszentrum für Künstliche IntelligenzSaarbrückenGermany

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