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Answer Formulation for Question-Answering

  • Leila Kosseim
  • Luc Plamondon
  • Luis Julien Guillemette
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2671)

Abstract

In this paper, we describe our experimentations in evaluating answer formulation for question-answering (QA) systems. In the context of QA, answer formulation can serve two purposes: improving answer extraction or improving human-computer interaction (HCI). Each purpose has di.erent precision/recall requirements. We present our experiments for both purposes and argue that formulations of better grammatical quality are beneficial for both answer extraction and HCI.

Keywords

Noun Phrase Question Answering Answer Formulation Answer Pattern Natural Language Generation 
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 2003

Authors and Affiliations

  • Leila Kosseim
    • 1
  • Luc Plamondon
    • 2
  • Luis Julien Guillemette
    • 1
  1. 1.Concordia UniversityMontréal
  2. 2.RALI,DIROUniversité de MontrélMontréal

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