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Dealing with ambiguities in an answer extraction system Diego Moll a
 

Summary: Dealing with ambiguities in an answer extraction system
Diego Molla
molla@ifi.unizh.ch
Michael Hess
hess@ifi.unizh.ch
Computational Linguistics Group
Dept. of Information Technology
University of Zurich, Switzerland
Abstract
We report on the treatment of ambiguity in ExtrAns, a system that performs an exhaustive
linguistic analysis of UNIX manpages to do answer extraction over them. Disambiguation is
performed in two stages. The rst stage consists of a set of simple rules that delete some of the
wrong interpretations that can be spot with purely syntactic information. The second stage
extends the use of Brill and Resnik's algorithm to disambiguate several types of attachment
ambiguities. Ambiguities that pass the disambiguation procedures are handled by ExtrAns
by displaying the answers to the user with graded selective highlighting.
1 Introduction
The treatment of ambiguity is a pervasive problem that any Natural Language Processing (NLP)
system needs to address if it is to solve practical problems. This is certainly true of ExtrAns, a
system that performs an exhaustive linguistic analysis of UNIX documentation les (the so-called

  

Source: Aliod, Diego Mollá - Department of Computing, Macquarie University

 

Collections: Computer Technologies and Information Sciences