Corpus annotation for mining biomedical events from literature |
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Authors: | Jin-Dong Kim Tomoko Ohta Jun'ichi Tsujii |
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Affiliation: | (1) Department of Computer Science, School of Information Science and Technology, University of Tokyo, Tokyo, Japan;(2) School of Computer Science, University of Manchester, Manchester, UK;(3) National Centre for Text Mining, University of Manchester, Manchester, UK |
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Abstract: | Background Advanced Text Mining (TM) such as semantic enrichment of papers, event or relation extraction, and intelligent Question Answering have increasingly attracted attention in the bio-medical domain. For such attempts to succeed, text annotation from the biological point of view is indispensable. However, due to the complexity of the task, semantic annotation has never been tried on a large scale, apart from relatively simple term annotation. |
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