Improving question answering using named entity recognition

Authors:
Antonio Toral;Elisa Noguera;Fernando Llopis;Rafael Muñoz
Affiliations:
Grupo de investigación en Procesamiento del Lenguaje Natural y Sistemas de Información, Departamento de Lenguajes y Sistemas Informáticos, University of Alicante, Spain;Grupo de investigación en Procesamiento del Lenguaje Natural y Sistemas de Información, Departamento de Lenguajes y Sistemas Informáticos, University of Alicante, Spain;Grupo de investigación en Procesamiento del Lenguaje Natural y Sistemas de Información, Departamento de Lenguajes y Sistemas Informáticos, University of Alicante, Spain;Grupo de investigación en Procesamiento del Lenguaje Natural y Sistemas de Información, Departamento de Lenguajes y Sistemas Informáticos, University of Alicante, Spain
Venue:
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
Year:
2005

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Abstract

This paper studies the use of Named Entity Recognition (NER) for the Question Anwering (QA) task in Spanish texts. NER applied as a preprocessing step not only helps to detect the answer to the question but also decreases the amount of data to be considered by QA. Our proposal reduces a 26% the quantity of data and moreover increases a 9% the efficiency of the system.