Oana Inel
Cited by
Cited by
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, ...
International Semantic Web Conference, 486-504, 2014
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
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
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
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
A survey of crowdsourcing in medical image analysis
S Řrting, A Doyle, A van Hilten, M Hirth, O Inel, CR Madan, P Mavridis, ...
arXiv preprint arXiv:1902.09159, 2019
Harnessing Diversity in Crowds and Machines for Better NER Performance
O Inel, L Aroyo
Extended Semantic Web Conference, 289-304, 2017
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
Enriching media collections for event-based exploration
V De Boer, L Melgar, O Inel, CM Ortiz, L Aroyo, J Oomen
Research Conference on Metadata and Semantics Research, 189-201, 2017
Temporal Information Annotation: Crowd vs. Experts
T Caselli, R Sprugnoli, O Inel
Language Resources and Evaluation (LREC 2016), 3502-3509, 2016
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
Empirical methodology for crowdsourcing ground truth
A Dumitrache, O Inel, B Timmermans, C Ortiz, RJ Sips, L Aroyo, C Welty
arXiv preprint arXiv:1809.08888, 2018
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, ...
Crowdsourcing Salient Information from News and Tweets
O Inel, T Caselli, L Aroyo
Language Resources and Evaluation (LREC 2016), 3959-3966, 2016
Crowd watson: Crowdsourced text annotations
H Lin, O Inel, G Soberón, L Aroyo, C Welty, M Overmeen, RJ Sips
Technical report, VU University Amsterdam, 2013
Validation methodology for expert-annotated datasets: Event annotation case study
O Inel, L Aroyo
2nd Conference on Language, Data and Knowledge (LDK 2019), 2019
Resource Interoperability for Sustainable Benchmarking: The Case of Events
C Van Son, O Inel, R Morante, L Aroyo, P Vossen
Proceedings of the Eleventh International Conference on Language Resources …, 2018
Challenges in Enabling Mixed Media Scholarly Research with Multi-media Data in a Sustainable Infrastructure
R Ordelman, CM Ortíz, LM Estrada, M Koolen, J Blom, W Melder, ...
Digital Humanities 2018, 2018
Local Crowdsourcing for Annotating Audio: the Elevator Annotator platform
T Karavellas, A Prameswari, O Inel, V de Boer
Human Computation 6 (1), 1-11, 2019
A Study of Narrative Creation by Means of Crowds and Niches.
O Inel, S Sauer, L Aroyo, A Bozzon, M Venanzi
HCOMP (WIP&Demo), 2018
The system can't perform the operation now. Try again later.
Articles 1–20