AUTOMATED QUESTION-ANSWERING TECHNIQUES AND THE MEDICAL DOMAIN

Andrea Andrenucci

Abstract

The question-answering (QA) paradigm, i.e. the process of retrieving precise answers to natural language (NL) questions, was introduced in late 1960-ies and early 1970-ies within the framework of Artificial Intelligence. The advent of WWW and the need to provide advanced, user-friendly search tools has extended the QA paradigm to a larger audience of people and a larger number of fields, including medicine. 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 within the medical domain.

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Paper Citation


in Harvard Style

Andrenucci A. (2008). AUTOMATED QUESTION-ANSWERING TECHNIQUES AND THE MEDICAL DOMAIN . In Proceedings of the First International Conference on Health Informatics - Volume 2: HEALTHINF, (BIOSTEC 2008) ISBN 978-989-8111-16-6, pages 207-212. DOI: 10.5220/0001044202070212


in Bibtex Style

@conference{healthinf08,
author={Andrea Andrenucci},
title={AUTOMATED QUESTION-ANSWERING TECHNIQUES AND THE MEDICAL DOMAIN},
booktitle={Proceedings of the First International Conference on Health Informatics - Volume 2: HEALTHINF, (BIOSTEC 2008)},
year={2008},
pages={207-212},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001044202070212},
isbn={978-989-8111-16-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Health Informatics - Volume 2: HEALTHINF, (BIOSTEC 2008)
TI - AUTOMATED QUESTION-ANSWERING TECHNIQUES AND THE MEDICAL DOMAIN
SN - 978-989-8111-16-6
AU - Andrenucci A.
PY - 2008
SP - 207
EP - 212
DO - 10.5220/0001044202070212