Named entity recognition, extraction, and linking in German legal contracts

Ingo Glaser, Bernhard Waltl, Florian Matthes

Research output: Contribution to journalArticlepeer-review

Abstract

The semantic knowledge revealed by the continuously increasing amount of digitized legal documents is highly relevant to the reader. Since documents are mostly available as unstructured data, they are not processable by computer systems. We provide support for this business need by implementing a software component, enabling semantic analysis and structuring of legal contracts. Hence, different approaches to Named Entity Recognition are incorporated into an Apache UIMA pipeline. The evaluation of the developed system, using German legal data, demonstrates the applicability of such approaches.

Original languageEnglish
JournalJusletter IT
Issue numberFebruary
StatePublished - 2018

Keywords

  • Legal Text Analysis
  • Named Entity Recognition and Disambiguation
  • UIMA

Fingerprint

Dive into the research topics of 'Named entity recognition, extraction, and linking in German legal contracts'. Together they form a unique fingerprint.

Cite this