software . 2019

Neural Network Model for Figurenerkennung in German literary texts

Simmler, Severin;
Open Source German
  • Published: 13 Mar 2019
  • Publisher: Zenodo
Abstract
<p>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).</p> <p>Usually NER models are not designed for literary texts resulting in poor recall. This Neural Network Model is the continuation of the work of <a href="https://opus.bibliothek.uni-wuerzburg.de/opus4-wuerzburg/frontdoor/deliver/index/docId/14333/file/Jannidis_Figurenerkennung_Roman.pdf">Jannidis et al.</a> and used in <a href="https://github.com/severinsimmler/figur">this easy-to-use package</a> for the programming language Python<code>.</code></p>
Subjects
free text keywords: natural language processing, digital humanities, named entity recognition
Communities
Social Science and Humanities
Digital Humanities and Cultural Heritage
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Zenodo
Software . 2019
Provider: Datacite
Zenodo
Software . 2019
Provider: Datacite
Zenodo
Software . 2019
Provider: Zenodo
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