The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
The TREC question answering track
Natural Language Engineering
A Fire-Alarming Method Based on Video Processing
IIH-MSP '06 Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia
Question Answering in Restricted Domains: An Overview
Computational Linguistics
Answering Clinical Questions with Knowledge-Based and Statistical Techniques
Computational Linguistics
A knowledge based method for the medical question answering problem
Computers in Biology and Medicine
Applying NLP techniques and biomedical resources to medical questions in QA performance
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Biomedical question answering: A survey
Computer Methods and Programs in Biomedicine
An ontology for clinical questions about the contents of patient notes
Journal of Biomedical Informatics
Contextual question answering for the health domain
Journal of the American Society for Information Science and Technology
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Question-answering systems that provide precise answers to questions, by combining techniques for information retrieval, information extraction, and natural language processing, are seen as the next-generation search engines. Due to the growth and real-world impact of biomedical information, the need for question-answering systems that can aid medical researchers and health care professionals in their information search is acutely felt. In order to provide users with accurate answers, such systems need to go beyond lexico-syntactic analysis to semantic analysis and processing of texts and knowledge resources. Moreover, question-answering systems equipped with reasoning capabilities can derive more adequate answers by using inference. Research on question answering in the medical and health care domain is still in its inception stage. While several recent approaches to medical question answering have explored use of semantic knowledge, few approaches have exploited the utility of logic formalisms and of inference mechanisms. In this paper, we present a framework for a logic-based question-answering system for the medical domain, which uses Description Logic as the formalism for knowledge representation and reasoning. As a first step toward building the proposed system, we present semantic analysis and classification of medical questions.