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Data Analysis and Knowledge Discovery  2020, Vol. 4 Issue (10): 93-103    DOI: 10.11925/infotech.2096-3467.2020.0272
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Unsupervised Cross-Language Model for Patent Recommendation Based on Representation
Zhang Jinzhu1,2(),Zhu Lipeng1,Liu Jingjie1
1School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China
2Jiangsu Provincial Social Public Safety Science and Technology Collaborative Innovation Center, anjing 210094, China
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[Objective] This paper designs a cross-language recommendation model for patents based on text semantic representation, aiming to reduce the number of bilingual dictionaries and large-scale corpus, as well as improve the ability of domain adaptation.[Methods] First, we designed a word vector mapping method with unsupervised cross-language algorithm. Then, we mapped Chinese and English word vectors to the unified semantic vector space with linear transformation, which constructed the semantic mapping relationship between Chinese and English words. Third, we created semantic representation of patent texts based on cross-language word vector with smooth inverse frequency (SIF) reweighting method. It realized the semantic representation of Chinese-English patent texts in the same vector space. Finally, we calculated the semantic similarity between patent texts and recommend the cross-language patents.[Results] We examined the proposed method with patents on “wireless communication” and the recommendation accuracy rate of the top 1 and the top 5 reached 55.63% and 77.82%, which were 0.66% and 1.45% higher than those of the weak supervised based cross-language recommendation. They were also 4.29% and 3.90% better than the machine translation based ones.[Limitations] We only examined the proposed method with Chinese and English patents from one specific field.[Conclusions] This proposed method could recommend Chinese and English patents effectively, which help future research in cross-language patent recommendations.

Key wordsCross-Language      Patent Recommendation      Representation Learning      Semantic Representation     
Received: 31 March 2020      Published: 28 July 2020
ZTFLH:  G254  
Corresponding Authors: Zhang Jinzhu     E-mail:

Cite this article:

Zhang Jinzhu,Zhu Lipeng,Liu Jingjie. Unsupervised Cross-Language Model for Patent Recommendation Based on Representation. Data Analysis and Knowledge Discovery, 2020, 4(10): 93-103.

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Visualization of Patent Word Vectors Before Mapping
Visualization of Patent Word Vectors After Mapping
弱监督 46.72 43.68
无监督 49.08 46.87
Accuracy of Cross-Language Word Mapping
Influence of the Number of Patent Words on Mapping Accuracy
中文单词 英文映射单词 常见匹配单词
移动终端 mobile-terminal; terminal; mobile-phone mobile-terminal
接入点 access-point; AP; access-points access-point
选择 selecting; selection; selected select
检测 reducing; reduced; reduce reduce
快速的 quickly; rapid; rapidly fast
准确的 accurately; accuracy; accurate accurate
Examples of Cross-Language Patent Word Mapping
Visualization of Patent Text Representation
跨语言专利推荐方法 Top-1 Accuracy Top-5 Accuracy
机器翻译 51.34 73.92
无监督+平均词向量 33.75 56.50
无监督+TF-IDF 42.01 65.45
弱监督+SIF 54.97 76.37
无监督+SIF 55.63 77.82
Accuracy of Cross-language Patent Recommendation
Examples of Cross-language Patent Recommendation
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