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A Semi-Automatic Annotation Method of Effect Clue Words for Chinese Patents Based on Co-Training

A Semi-Automatic Annotation Method of Effect Clue Words for Chinese Patents Based on Co-Training

Na Deng, Chunzhi Wang, Mingwu Zhang, Zhiwei Ye, Liang Xiao, Jingbai Tian, Desheng Li, Xu Chen
Copyright: © 2018 |Volume: 14 |Issue: 4 |Pages: 19
ISSN: 1548-3924|EISSN: 1548-3932|EISBN13: 9781522542674|DOI: 10.4018/IJDWM.2018100101
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MLA

Deng, Na, et al. "A Semi-Automatic Annotation Method of Effect Clue Words for Chinese Patents Based on Co-Training." IJDWM vol.14, no.4 2018: pp.1-19. http://doi.org/10.4018/IJDWM.2018100101

APA

Deng, N., Wang, C., Zhang, M., Ye, Z., Xiao, L., Tian, J., Li, D., & Chen, X. (2018). A Semi-Automatic Annotation Method of Effect Clue Words for Chinese Patents Based on Co-Training. International Journal of Data Warehousing and Mining (IJDWM), 14(4), 1-19. http://doi.org/10.4018/IJDWM.2018100101

Chicago

Deng, Na, et al. "A Semi-Automatic Annotation Method of Effect Clue Words for Chinese Patents Based on Co-Training," International Journal of Data Warehousing and Mining (IJDWM) 14, no.4: 1-19. http://doi.org/10.4018/IJDWM.2018100101

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Abstract

In the era of big data, the latest and most advanced technologies are usually revealed to the world in the form of patents. Patents include abundant technical, economic and legal information. A deep analysis and mining of patents can provide important support for enterprises. Patent effect annotation is an important step in patent analysis and mining, and the extraction of patent effect clue words can greatly improve the accuracy and recall rate of annotation. This article summarizes the classification and characteristics of effect clue words, and proposes a co-training-based method of extracting effect clue words from Chinese patents suitable for various fields. Through a strategy called self-filtering, this method can gradually enrich effect clue words thesaurus by iterations, not relying on any other third-party filters. The experiments give the detailed steps, comparisons and boosting of the method.

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