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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Trancoso, I., Mamede, N., Martins, B., Pinto, H. S. & Ribeiro, R. (2024). The impact of language technologies in the legal domain. In Henrique Sousa Antunes, Pedro Miguel Freitas, Arlindo L. Oliveira, Clara Martins Pereira, Elsa Vaz de Sequeira, Luís Barreto Xavier (Ed.), Multidisciplinary perspectives on artificial intelligence and the law. (pp. 25-46).: Springer.
Exportar Referência (IEEE) 
I. Trancoso et al.,  "The impact of language technologies in the legal domain", in Multidisciplinary perspectives on artificial intelligence and the law, Henrique Sousa Antunes, Pedro Miguel Freitas, Arlindo L. Oliveira, Clara Martins Pereira, Elsa Vaz de Sequeira, Luís Barreto Xavier, Ed., Springer, 2024, vol. 58, pp. 25-46
Exportar BibTeX 
@incollection{trancoso2024_1744389275509,
	author = "Trancoso, I. and Mamede, N. and Martins, B. and Pinto, H. S. and Ribeiro, R.",
	title = "The impact of language technologies in the legal domain",
	chapter = "",
	booktitle = "Multidisciplinary perspectives on artificial intelligence and the law",
	year = "2024",
	volume = "58",
	series = "Law, Governance and Technology Series",
	edition = "",
	pages = "25-25",
	publisher = "Springer",
	address = "",
	url = "https://link.springer.com/chapter/10.1007/978-3-031-41264-6_2"
}
Exportar RIS 
TY  - CHAP
TI  - The impact of language technologies in the legal domain
T2  - Multidisciplinary perspectives on artificial intelligence and the law
VL  - 58
AU  - Trancoso, I.
AU  - Mamede, N.
AU  - Martins, B.
AU  - Pinto, H. S.
AU  - Ribeiro, R.
PY  - 2024
SP  - 25-46
SN  - 2352-1902
DO  - 10.1007/978-3-031-41264-6_2
UR  - https://link.springer.com/chapter/10.1007/978-3-031-41264-6_2
AB  - In 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.
ER  -