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Enriching Media Collections for Event-Based Exploration., , , , , and . MTSR, volume 755 of Communications in Computer and Information Science, page 189-201. Springer, (2017)Machine-Crowd Annotation Workflow for Event Understanding Across Collections and Domains.. ESWC, volume 9678 of Lecture Notes in Computer Science, page 813-823. Springer, (2016)Studying Topical Relevance with Evidence-based Crowdsourcing., , , , , , , and . CIKM, page 1253-1262. ACM, (2018)Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation Annotation., and . EventStory@Coling, page 44-54. Association for Computational Linguistics, (2018)Crowdsourcing Inclusivity: Dealing with Diversity of Opinions, Perspectives and Ambiguity in Annotated Data., , , , , and . WWW (Companion Volume), page 1294-1295. ACM, (2019)Optimizing Explorative Search for the Needs of Media Professionals: The DIVE+ Use Case., , , and . SEMANTiCS Workshops, volume 2063 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Event Extraction From Radio News Bulletins., , , and . SEMANTiCS Workshops, volume 2063 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Validation Methodology for Expert-Annotated Datasets: Event Annotation Case Study., and . LDK, volume 70 of OASIcs, page 12:1-12:15. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)A Study of Narrative Creation by Means of Crowds and Niches., , and . HCOMP (WIP&Demo), volume 2173 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Domain-Independent Quality Measures for Crowd Truth Disagreement., , , and . DeRiVE@ISWC, volume 1123 of CEUR Workshop Proceedings, page 2-13. CEUR-WS.org, (2013)