Term Extraction Using Co-occurrence in Abstract and First Claim for Patent Analysis
Patent information analysis need to extract patent terms from a vast amount of patent records rapidly and accurately.This paper proposes a patent term extraction method using co-occurrence in abstract and first claim sections of patent records.The research is carried out in three steps.In experiment 1,our proposed method’s F1 is 34.8%and higher than that of KEA with 21.0%.This demonstrates the good performance of our proposed method from a standard point of view.In experiment 2,our proposed method selects only 10,866 qualified terms from 28,044 candidate strings,with the selection percentage of 38.75%.There are 96.8%of total patent claims that contain the candidate terms at the same time.This illustrates the advantage of the proposed method in both eliminating unqualified candidates and providing a good coverage of patent texts from an actual application perspective.
Peng Qu Junsheng Zhang Yanqing He Wen Zeng Hongjiao Xu
Institute for Scientific and Technical Information of China (ISTIC),Beijing 100038,China
国际会议
北京
英文
60-63
2014-10-17（万方平台首次上网日期，不代表论文的发表时间）