Chinese Patent Mining Based on Sememe Statistics and Key Phrase Extraction 1st Edition by Bo Jin, Hong Fei Teng, Yan Jun Shi, Fu Zheng Qu 9783540738701

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ISBN 13: 9783540738701

Author: Bo Jin, Hong Fei Teng, Yan Jun Shi, Fu Zheng Qu

Recently, key-phrase extraction from patent document has received considerable attention. However, the current statistical approaches of Chinese key-phrase extraction did not realize the semantic comprehension, thereby resulting in inaccurate and partial extraction. In this study, a Chinese patent mining approach based on sememe statistics and key-phrase extraction has been proposed to extract key-phrases from patent document. The key-phrase extraction algorithm is based on semantic knowledge structure of HowNet, and statistical approach is adopted to calculate the chosen value of the phrase in the patent document. With an experimental data set, the results showed that the proposed algorithm had improvements in recall from 62% to 73% and in precision from 72% to 81% compared with term frequency statistics algorithm.

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