Abstract
Nowadays, there is an increasing interest in research on QA over restricted domains. Concretely, in this paper we will show the process of question analysis in a medical QA system. This system is able to obtain answers to different natural language questions according to a question taxonomy. In this system we combine the use of NLP techniques and biomedical resources. The main NLP technique is the use of logic forms and the pattern matching technique in this question analysis performance.
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Terol, R.M., Martinez-Barco, P., Palomar, M. (2006). Applying NLP Techniques and Biomedical Resources to Medical Questions in QA Performance. In: Gelbukh, A., Reyes-Garcia, C.A. (eds) MICAI 2006: Advances in Artificial Intelligence. MICAI 2006. Lecture Notes in Computer Science(), vol 4293. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11925231_95
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DOI: https://doi.org/10.1007/11925231_95
Publisher Name: Springer, Berlin, Heidelberg
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