Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/24427
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| Title: | An architecture for the automatic identification of arguments in legal documents |
| Authors: | Poudyal, Prakash
Quaresma, Paulo
Gonçalves, Teresa |
| Issue Date: | 2018 |
| Publisher: | MET-ARG'2018 |
| Citation: | P. Quaresma P. Poudyal, T. Gonçalves. An architecture for the automatic identification
of arguments in legal documents. In Proceedings of the 2nd International Workshop on Methodologies for Research on Legal Argumentation (MET-ARG), MET-ARG 2018, War-
saw, Poland, 2018. |
| Abstract: | In this paper we propose an architecture for the automatic identification of arguments in legal
documents. The architecture is based in a pipeline of three modules: 1) identification of
argumentative sentences; 2) sentence clustering (into arguments); 3) identification of the
structure of the arguments (premises and conclusions). The proposed system was evaluated
with an annotated ECHR (European Corpus for Human Rights) corpus. |
| URI: | http://hdl.handle.net/10174/24427 |
| Type: | lecture |
| Appears in Collections: | INF - Comunicações - Em Congressos Científicos Internacionais
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