Offline strategies for online question answering: answering questions before they are asked
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Answering clinical questions with role identification
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
Question Answering in Restricted Domains: An Overview
Computational Linguistics
Answering Clinical Questions with Knowledge-Based and Statistical Techniques
Computational Linguistics
Journal of Biomedical Informatics
Biomedical question answering: A survey
Computer Methods and Programs in Biomedicine
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
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Restricted domains such as medicine set a context where question-answering is more likely expected to be associated with knowledge and reasoning (Mollá and Vicedo, 2007; Ferret and Zweigenbaum, 2007). On the one hand, knowledge and reasoning may be more necessary than in open-domain question-answering because of more specific or more difficult questions. On the other hand, it may also be more manageable, since by definition restricted-domain QA should not have to face the same breadth of questions as open-domain QA. It is therefore interesting to study the role of knowledge and reasoning in restricted-domain question-answering systems. We shall do so in the case of the (bio-)medical domain, which has a long tradition of investigating knowledge representation and reasoning and, more generally, artificial intelligence methods (Shortliffe et al., 1975), and which has seen a growing interest in question-answering systems (Zweigenbaum, 2003; Yu et al., 2005; Demner-Fushman and Lin, 2007; Zweigenbaum et al., 2007).