Automated Question Answering: Review of the Main Approaches

Authors:
Andrea Andrenucci;Eriks Sneiders
Affiliations:
Stockholm University/Royal Institute of Technology;Stockholm University/Royal Institute of Technology
Venue:
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
Year:
2005

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Abstract

Automated Question- Answering aims at delivering concise information that contains answers to user questions. This paper reviews and compares three main question-answering approaches based on Natural Language Processing, Information Retrieval, and question templates, eliciting their differences and the context of application that best suits each of them.