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Oana Inel
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Crowdtruth: Machine-human computation framework for harnessing disagreement in gathering annotated data
O Inel, K Khamkham, T Cristea, A Dumitrache, A Rutjes, J van der Ploeg, ...
The Semantic Web–ISWC 2014: 13th International Semantic Web Conference, Riva …, 2014
902014
A survey of crowdsourcing in medical image analysis
S Řrting, A Doyle, A van Hilten, M Hirth, O Inel, CR Madan, P Mavridis, ...
Human Computation 7 (1), 1-26, 2020
502020
Measuring crowd truth: Disagreement metrics combined with worker behavior filters
G Soberón, L Aroyo, C Welty, O Inel, H Lin, M Overmeen
CrowdSem 2013 Workshop 2, 2013
372013
DIVE into the event-based browsing of linked historical media
V De Boer, J Oomen, O Inel, L Aroyo, E Van Staveren, W Helmich, ...
Journal of Web Semantics 35, 152-158, 2015
352015
CrowdTruth 2.0: Quality metrics for crowdsourcing with disagreement
A Dumitrache, O Inel, L Aroyo, B Timmermans, C Welty
arXiv preprint arXiv:1808.06080, 2018
302018
A checklist to combat cognitive biases in crowdsourcing
T Draws, A Rieger, O Inel, U Gadiraju, N Tintarev
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 9 …, 2021
262021
Time-aware multi-viewpoint summarization of multilingual social text streams
Z Ren, O Inel, L Aroyo, M De Rijke
Proceedings of the 25th ACM International on Conference on Information and …, 2016
252016
Domain-independent quality measures for crowd truth disagreement
O Inel, L Aroyo, C Welty, RJ Sips
Detection, Representation, and Exploitation of Events in the Semantic Web, 2, 2013
22*2013
Empirical methodology for crowdsourcing ground truth
A Dumitrache, O Inel, B Timmermans, C Ortiz, RJ Sips, L Aroyo, C Welty
Semantic Web 12 (3), 403-421, 2021
202021
Crowdsourcing StoryLines: Harnessing the crowd for causal relation annotation
T Caselli, O Inel
Proceedings of the Workshop Events and Stories in the News 2018, 44-54, 2018
152018
Harnessing Diversity in Crowds and Machines for Better NER Performance
O Inel, L Aroyo
Extended Semantic Web Conference, 289-304, 2017
152017
Studying topical relevance with evidence-based crowdsourcing
O Inel, G Haralabopoulos, D Li, C Van Gysel, Z Szlávik, E Simperl, ...
Proceedings of the 27th ACM International Conference on Information and …, 2018
142018
Enriching media collections for event-based exploration
V De Boer, L Melgar, O Inel, CM Ortiz, L Aroyo, J Oomen
Metadata and Semantic Research: 11th International Conference, MTSR 2017 …, 2017
122017
Validation methodology for expert-annotated datasets: Event annotation case study
O Inel, L Aroyo
2nd Conference on Language, Data and Knowledge (LDK 2019), 2019
102019
Temporal Information Annotation: Crowd vs. Experts
T Caselli, R Sprugnoli, O Inel
Language Resources and Evaluation (LREC 2016), 3502-3509, 2016
102016
Someone really wanted that song but it was not me! Evaluating Which Information to Disclose in Explanations for Group Recommendations
S Najafian, O Inel, N Tintarev
Proceedings of the 25th International Conference on Intelligent User …, 2020
92020
Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces
M Mulder, O Inel, J Oosterman, N Tintarev
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021
82021
Crowdsourcing Salient Information from News and Tweets
O Inel, T Caselli, L Aroyo
Language Resources and Evaluation (LREC 2016), 3959-3966, 2016
72016
Comprehensive viewpoint representations for a deeper understanding of user interactions with debated topics
T Draws, O Inel, N Tintarev, C Baden, B Timmermans
ACM SIGIR Conference on Human Information Interaction and Retrieval, 135-145, 2022
62022
From tools to “Recipes”: Building a media suite within the Dutch digital humanities infrastructure CLARIAH
C Martinez-Ortiz, R Ordelman, M Koolen, JJ Noordegraaf, L Melgar, ...
DH Benelux, 78-81, 2017
62017
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Articles 1–20