Named Entity Recognition in the Legal Domain using a Pointer Generator Network

Named Entity Recognition (NER) is the task of identifying and classifying named entities in unstructured text. In the legal domain, named entities of interest may include the case parties, judges, names of courts, case numbers, references to laws etc. We study the problem of legal NER with noisy tex...

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Veröffentlicht in:	arXiv.org 2020-12
Hauptverfasser:	Skylaki, Stavroula, Oskooei, Ali, Bari, Omar, Herger, Nadja, Kriegman, Zac
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Computer architecture Domains Legislation Neural networks Optical character recognition Standard data Training Unstructured data
Online-Zugang:	Volltext
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