2021-11-01
Text-mining for Lawyers:
Publication
Publication
How Machine Learning Techniques Can Advance our Understanding of Legal Discourse
Erasmus Law Review , Volume 14 - Issue 1 p. 7- 23
Many questions facing legal scholars and practitioners can be answered only by analysing and interrogating large collections of legal documents: statutes, treaties, judicial decisions and law review articles. I survey a range of novel techniques in machine learning and natural language processing – including topic modelling, word embeddings and transfer learning – that can be applied to the large-scale investigation of legal texts
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| doi.org/10.5553/ELR.000191, hdl.handle.net/1765/137009 | |
| Erasmus Law Review | |
| Erasmus Law Review | |
| Organisation | Erasmus School of Law |
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Dyevre, A. (2021). Text-mining for Lawyers:: How Machine Learning Techniques Can Advance our Understanding of Legal Discourse. Erasmus Law Review, 14(1), 7–23. doi:10.5553/ELR.000191 |
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