Título:
|
Full machine translation for factoid question answering
|
Autor/a:
|
España Bonet, Cristina; Comas Umbert, Pere Ramon
|
Otros autores:
|
Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics; Universitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural |
Abstract:
|
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:
|
Peer Reviewed |
Materia(s):
|
-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural -Information retrieval -Question answering -Informació -- Sistemes d'emmagatzematge i recuperació |
Derechos:
|
|
Tipo de documento:
|
Artículo - Borrador Objeto de conferencia |
Editor:
|
Association for Computational Linguistics
|
Compartir:
|
|