[Purpose/significance] Comparative documents are important for judging whether a patent can be granted or invalid. Aiming at the shortcomings of traditional information retrieval methods and rarely using machine learning methods to study the issue of comparative document retrieval, based on the introduction of comparative file information, this paper constructs a patent relevance determination model.[Method/process] Experiments were performed by using the target patents and comparative documents in the patent invalidation judgment as the data set to extract text similarity, co-occurrence vocabulary, and co-word quantity feature information. The GBDT model was used to convert the retrieval of comparative documents into classification issues that determined whether they were relevant.[Result/conclusion] The research results show that the contribution of different field data to the classification effect is different, in which the F1 of the description text reaches 59%, and the classification effect after multi-feature integration is significantly better than the result of single text similarity. Finally, this paper analyzes the experimental misclassifications and points out the next research directions.
Guo Shiqi
,
Yun Qiang
,
Chen Liang
,
Zhou Jie
. Research on the Method of Judging Reference Document in Patent Invalidation Using GBDT[J]. Library and Information Service, 2021
, 65(2)
: 117
-125
.
DOI: 10.13266/j.issn.0252-3116.2021.02.012
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