software . 2019

Neural Network Model for Figurenerkennung in German literary texts

Simmler, Severin;
Open Access German
  • Published: 13 Mar 2019
  • Publisher: Zenodo
Abstract
An important step in the quantitative analysis of narrative texts is the automatic recognition of references to figures, a special case of the generic NLP problem of Named Entity Recognition (NER). Usually NER models are not designed for literary texts resulting in poor recall. This Neural Network Model is the continuation of the work of Jannidis et al. and used in this easy-to-use package for the programming language Python.
Subjects
free text keywords: natural language processing, digital humanities, named entity recognition
Communities
  • Digital Humanities and Cultural Heritage
  • Social Science and Humanities
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Open Access
ZENODO
Software . 2019
Providers: ZENODO
1 research outcomes, page 1 of 1
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