Legal Information Retrieval systems: State-of-the-art and open issues

作者：

Highlights：

• Legal Information Retrieval aims to model information search from legal practitioners.

• LIR is an IR task to identify most suitable information w.r.t the input query.

• LIR systems can be classified in NLP, Deep Learning and Ontology based techniques.

• Several challenges are arising for Legal Information Extraction and Entailment.

摘要

•Legal Information Retrieval aims to model information search from legal practitioners.•LIR is an IR task to identify most suitable information w.r.t the input query.•LIR systems can be classified in NLP, Deep Learning and Ontology based techniques.•Several challenges are arising for Legal Information Extraction and Entailment.

论文关键词：Legal Information Retrieval,Artificial Intelligence,Natural Processing Language,Ontology

论文评审过程：Received 15 October 2020, Revised 18 October 2021, Accepted 7 November 2021, Available online 6 December 2021, Version of Record 9 February 2022.

论文官网地址：https://doi.org/10.1016/j.is.2021.101967