Title:
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Full machine translation for factoid question answering
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Author:
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España Bonet, Cristina; Comas Umbert, Pere Ramon
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics; Universitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural |
Abstract:
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In this paper we present an SMT-based approach to Question Answering (QA). QA is the task of extracting exact answers in
response to natural language questions. In
our approach, the answer is a translation of
the question obtained with an SMT system.
We use the n-best translations of a given
question to find similar sentences in the
document collection that contain the real
answer. Although it is not the first time that SMT inspires a QA system, it is the first approach that uses a full Machine Translation system for generating answers. Our approach is validated with the datasets of the TREC QA evaluation. |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural -Information retrieval -Question answering -Informació -- Sistemes d'emmagatzematge i recuperació |
Rights:
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Document type:
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Article - Draft Conference Object |
Published by:
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Association for Computational Linguistics
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