GarNLP: A Natural Language Processing Pipeline for Garnishment Documents-Reference-Cited by-同舟云学术

GarNLP: A Natural Language Processing Pipeline for Garnishment Documents

Published:2020-03-17 Issue:1 Volume:23 Page:101-114
ISSN:1387-3326
Container-title:Information Systems Frontiers
language:en
Short-container-title:Inf Syst Front

Author:

Bordino Ilaria,Ferretti Andrea,Gullo Francesco^ORCID,Pascolutti Stefano

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s10796-020-09997-0.pdf

Reference46 articles.

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2. Ajani, G., Boella, G., Lesmo, L., Martin, M., Mazzei, A., Radicioni, D.P., Rossi, P. (2010). Semantic processing of legal texts. chap. Multilevel Legal Ontologies. Springer.

3. Allwood, W. (1988). Expert systems in law. A jurisprudential inquiry. By Richard E. Susskind. The Cambridge Law Journal, 47.

4. Almeida, F., Xexéo, G. (2019). Word embeddings: A survey. CoRR abs/1901.09069.

5. Ananiadou, S., & Mcnaught, J. (2005). Text mining for biology and biomedicine. Inc: Artech House.

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