Using Graph Representations for Semantic Information Extraction from Chinese Patents

Ding, Wei; Wang, Junli; Zhu, Haohao

doi:10.1145/3386164.3389093

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…Patent texts, as a type of semi-structured texts, usually have relatively regular structures about their paragraphs and sentences. Thus, TextRank [7] as a graph-based analysis model has been effectively used to extract patent keywords [8]. For existing TextRank methods, they use the PageRank [9] formula to calculate node rank values based on the cooccurrence relationship among all possible words.…”

Section: Introductionmentioning

confidence: 99%

A patent keywords extraction method using TextRank model with prior public knowledge

Huang

Xie

2021

Complex Intell. Syst.

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For large amount of patent texts, how to extract their keywords in an unsupervised way is a very important problem. In existing methods, only the own information of patent texts is analyzed. In this study, an improved TextRank model is proposed, in which prior public knowledge is effectively utilized. Specifically, two following points are first considered: (1) a TextRank network is constructed for each patent text, (2) a prior knowledge network is constructed based on public dictionary data, in which network edges represent the prior interpretation relationship among all dictionary words in dictionary entries. Then, an improved node rank value evaluation formula is designed for TextRank networks of patent texts, in which prior interpretation information in prior knowledge network are introduced. Finally, patent keywords can be extracted by finding top-k node words with higher node rank values. In our experiments, patent text clustering task is used to examine the performance of proposed method, wherein several comparison experiments are executed. Corresponding results demonstrate that, new method can markedly obtain better performance than existing methods for patent keywords extraction task in an unsupervised way.

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Section: Introductionmentioning

confidence: 99%

A patent keywords extraction method using TextRank model with prior public knowledge

Huang

Xie

2021

Complex Intell. Syst.

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Extraction and Modeling of Chinese Patent Information for Technical Advancement Evaluation

Sun

Cao

Gao

et al. 2021

Creative Solutions for a Sustainable Development

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Tracking Biofuel Innovation: A Graph-Based Analysis of Sustainable Aviation Fuel Patents

de Oliveira,

Mosquéra,

Martins

et al. 2024

Energies

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The use of biofuels represents a promising means of achieving a sustainable future and offers considerable economic and environmental benefits. Since they are derived from organic sources, such as vegetable oils and animal fats, biofuels can mitigate the effects of greenhouse gas emissions, improve air quality, support local agriculture, create employment opportunities, and enhance energy security by reducing dependence on fossil fuels. However, introducing these alternative fuels to the aviation sector remains a significant challenge. Thus, it is vital to investigate the potential of sustainable aviation fuel (SAF) and discover how to overcome the technological obstacles to its integration into mainstream aviation to attain broader decarbonization objectives. This article seeks to contribute to a discussion about SAF by examining how it has evolved and its connections to related patents. This article is a comprehensive study of biofuel innovation, highlighting the complex relationships between academia, industry, and other stakeholders. It is hoped that the findings from this study will provide a clearer understanding of the catalysts involved in SAF innovation and provide valuable insights for policymakers, academics, and professionals in the field who are committed to shaping the trajectory of sustainable energy technologies in the future.

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Using Graph Representations for Semantic Information Extraction from Chinese Patents

Cited by 3 publications

References 14 publications

A patent keywords extraction method using TextRank model with prior public knowledge

A patent keywords extraction method using TextRank model with prior public knowledge

Extraction and Modeling of Chinese Patent Information for Technical Advancement Evaluation

Tracking Biofuel Innovation: A Graph-Based Analysis of Sustainable Aviation Fuel Patents

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