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LOCAL AND GLOBAL LEARNING METHOD FOR QUESTION ANSWERING APPROACH
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Radhika, Syama
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Abstract
Vocabulary gap between health seekers and health care experts are more prevalent in health care domain. Different health seekers describe their questions in different ways and answers provided by the experts may contain non standardised terminologies. To overcome the vocabulary gap, a new scheme is used which combines two approaches namely local mining and global learning. Local mining extracts medical concepts from medical records and then map them to normalised terminologies based on standardized dictionary. Local mining suffer from problem of missing key concepts. Global learning overcome the issues in local mining by finding the missing key concepts.
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