Automatic Recognition of Terms in Chinese Patent Literature
YANG Shuanglong1,LV Xueqiang1,LI Zhuo1,XU Liping2
1. Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science and Technology University,Beijing 100101,China; 2.Beijing Research Center of Urban System Engineering,Beijing 100089,China
Abstract：Chinese patent literatures contain abundant domain-specific terms, and automatic recognition of terminology is an important task in information extraction and text mining. In this paper, we propose an approach of automatic generation of term formation rules and a novel TermRank algorithm. Firstly, we focus on generating a set of term formation rules automatically through a large number of patent titles and then applied those rules to patent texts for term candidates. Finally, the TermRank algorithm decides the final terms. Experimental results on 9725 Chinese patent literatures demonstrate the effectiveness of the proposed approach.
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2016, Vol. 30 
