Journal article Open Access

Collaborative Text Annotation Meets Machine Learning: heureCLÉA, a Digital Heuristic of Narrative

Bögel, Thomas; Gertz, Michael; Gius, Evelyn; Jacke, Janina; Meister, Jan Christoph; Petris, Marco; Strötgen, Jannik


Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Bögel, Thomas</dc:creator>
  <dc:creator>Gertz, Michael</dc:creator>
  <dc:creator>Gius, Evelyn</dc:creator>
  <dc:creator>Jacke, Janina</dc:creator>
  <dc:creator>Meister, Jan Christoph</dc:creator>
  <dc:creator>Petris, Marco</dc:creator>
  <dc:creator>Strötgen, Jannik</dc:creator>
  <dc:date>2015-07-01</dc:date>
  <dc:description>This is the submitted version of our paper about heureCLÉA, an interdisciplinary project for the development of a "digital heuristic" that can support research in narratives by automatically identifying narratologically salient features in textual narratives.

Please note: the journal is not available online at the moment (i.e., in June 2019).</dc:description>
  <dc:identifier>https://zenodo.org/record/3240591</dc:identifier>
  <dc:identifier>10.5281/zenodo.3240591</dc:identifier>
  <dc:identifier>oai:zenodo.org:3240591</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.3240590</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:source>DH Commons Journal 1</dc:source>
  <dc:title>Collaborative Text Annotation Meets Machine Learning: heureCLÉA, a Digital Heuristic of Narrative</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
</oai_dc:dc>
66
79
views
downloads
All versions This version
Views 6666
Downloads 7979
Data volume 120.0 MB120.0 MB
Unique views 5353
Unique downloads 7272

Share

Cite as