Author:
Trancoso Isabel,Mamede Nuno,Martins Bruno,Pinto H. Sofia,Ribeiro Ricardo
Abstract
AbstractIn the current digital era, language technologies are playing an increasingly vital role in the legal domain, assisting users, lawyers, judges, and legal professionals to solve many real-world problems. While open datasets and innovative deep learning methodologies have led to recent breakthroughs in the area, significant efforts are still being made to transfer the theoretical/algorithmic developments, associated with general text and speech processing, into real applications in the legal-domain. This chapter presents a brief survey on language technologies for addressing legal tasks, covering studies and applications related to both text and speech processing (Manuscript submitted in May 2022).
Publisher
Springer International Publishing
Reference87 articles.
1. Abad A, Bell P, Carmantini A, Renals S (2020) Cross lingual transfer learning for zero-resource domain adaptation. In: 2020 IEEE International conference on acoustics, speech and signal processing (ICASSP), pp 6909–6913. https://doi.org/10.1109/ICASSP40776.2020.9054468
2. Alaven V (1997) Teaching case-based argumentation through a model and examples. Ph.D Thesis, University of Pittsburgh
3. Aletras N, Tsarapatsanis D, Preoţiuc-Pietro D, Lampos V (2016) Predicting judicial decisions of the European court of human rights: A natural language processing perspective. PeerJ Comput Sci 2:e93
4. Alghazzawi D, Bamasag O, Albeshri A, Sana I, Ullah H, Asghar MZ (2022) Efficient prediction of court judgments using an LSTM+CNN neural network model with an optimal feature set. Mathematics 10(5). https://doi.org/10.3390/math10050683. https://www.mdpi.com/2227-7390/10/5/683
5. Angelidis I, Chalkidis I, Koubarakis M (2018) Named entity recognition, linking and generation for Greek legislation. In: JURIX, pp 1–10