Exploiting co-occurrence networks for classification of implicit inter-relationships in legal texts

作者：

Highlights：

• To provide a general framework in addressing the identification of inter-relationships in a legal document.

• As a novelty, the adoption of card sorting in the norm types identification process.

• To explore the role of network metrics in a graph-based supervised learning NLP classification task.

摘要

•To provide a general framework in addressing the identification of inter-relationships in a legal document.•As a novelty, the adoption of card sorting in the norm types identification process.•To explore the role of network metrics in a graph-based supervised learning NLP classification task.

论文关键词：Information extraction,Legal databases,Text mining,Network analysis,Card sorting

论文评审过程：Received 2 November 2020, Revised 16 March 2021, Accepted 4 May 2021, Available online 6 June 2021, Version of Record 9 February 2022.

论文官网地址：https://doi.org/10.1016/j.is.2021.101821