Law and Word Order: NLP in Legal Tech
By Rick Dale. 2018
88 citations recorded by the source corpus.
Abstract The law has language at its heart, so it’s not surprising that software that operates on natural language has played a role in some areas of the legal profession for a long time. But the last few years have seen an increased interest in applying modern techniques to a wider range of problems, so I look here at how natural language processing is being used in the legal sector today.
Subfields: Law, Political Science and International Relations, Natural Language Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Law
In Political Science and International Relations
In Natural Language Processing
- Percy Liang
- Ruslan Salakhutdinov
- Louis-philippe Morency
- Mohit Bansal
- Jonathan Berant
- Irene Z Li
- Jianfeng Gao
- Yejin Choi
Citations in the corpus
- Towards Understanding and Mitigating Social Biases in Language Models (2021, background): “, 2018), legal systems (Dale, 2019), and computational social science (Bamman et al.”
- Towards Debiasing Sentence Representations (2020, background): “Machine learning tools for learning from language are increasingly deployed in real-world scenarios such as healthcare [27], legal systems [7], and computational social science [2].”
- GPT-4 passes the bar exam (2024, unknown): “20,21 37 The Uniform Bar Exam”