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Study on Ontology Relation Extraction in Chinese Patent Documents |
Gu Jun1, Xu Xin2 |
1. Baoshan Iron and Steel Co, Ltd., Shanghai 201900, China; 2. Department of Informatics, Business School, East China Normal University, Shanghai 200241, China |
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Abstract This paper promotes a method which collects the non-taxonomic relation from the Chinese patents' texts. Firstly, it analyzes the syntax of abstract texts, then constructs the sub-sentences extraction rules by domain sentence,character sentence, module & craft sentence and effect sentence. Secondly, artificially labels the terms of sub-sentences by label symbols such as BIEO, creates a scale of training data set. Thirdly, learns the training data and extracts the new data by CRFs. Finally, analyzes the experiment results and verifies the validity of the method.
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Received: 19 July 2013
Published: 04 November 2013
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