| Crowdtruth: Machine-human computation framework for harnessing disagreement in gathering annotated data O Inel, K Khamkham, T Cristea, A Dumitrache, A Rutjes, J Ploeg, ... International semantic web conference, 486-504, 2014 | 87 | 2014 |
| Crowdsourcing ground truth for medical relation extraction A Dumitrache, L Aroyo, C Welty arXiv preprint arXiv:1701.02185, 2017 | 50 | 2017 |
| Dr. Detective: combining gamification techniques and crowdsourcing to create a gold standard for the medical domain A Dumitrache, L Aroyo, C Welty, RJ Sips, A Levas CrowdSem, ISWC2013, 16-31, 2013 | 44* | 2013 |
| Capturing Ambiguity in Crowdsourcing Frame Disambiguation A Dumitrache, L Aroyo, C Welty HCOMP 2018, 2018 | 28 | 2018 |
| Achieving Expert-Level Annotation Quality with CrowdTruth: The Case of Medical Relation Extraction A Dumitrache, L Aroyo, C Welty | 23* | 2015 |
| 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 | 21 | 2018 |
| Crowdsourcing disagreement for collecting semantic annotation A Dumitrache European Semantic Web Conference, 701-710, 2015 | 21 | 2015 |
| 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 | 15 | 2021 |
| A crowdsourced frame disambiguation corpus with ambiguity A Dumitrache, L Aroyo, C Welty arXiv preprint arXiv:1904.06101, 2019 | 14 | 2019 |
| CrowdTruth Measures for Language Ambiguity: The Case of Medical Relation Extraction A Dumitrache, L Aroyo, C Welty | 14* | 2015 |
| Beyond optimizing for clicks: Incorporating editorial values in news recommendation F Lu, A Dumitrache, D Graus Proceedings of the 28th ACM Conference on User Modeling, Adaptation and …, 2020 | 10 | 2020 |
| False Positive and Cross-relation Signals in Distant Supervision Data A Dumitrache, L Aroyo, C Welty AKBC 2017, 2017 | 7 | 2017 |
| Crowdsourcing semantic label propagation in relation classification A Dumitrache, L Aroyo, C Welty arXiv preprint arXiv:1809.00537, 2018 | 6 | 2018 |
| Semeval-2021 task 12: Learning with disagreements A Uma, T Fornaciari, A Dumitrache, T Miller, J Chamberlain, B Plank, ... Association for Computational Linguistics, 2021 | 5 | 2021 |
| CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement.(2018) A Dumitrache, O Inel, L Aroyo, B Timmermans, C Welty URL https://arxiv. org/abs, 1808 | 5 | 1808 |
| Crowdsourcing Labeled Data for Natural Language Processing A Dumitrache | 4 | 2019 |
| Crowdsourcing inclusivity: Dealing with diversity of opinions, perspectives and ambiguity in annotated data L Aroyo, A Dumitrache, O Inel, Z Szlávik, B Timmermans, C Welty Companion Proceedings of The 2019 World Wide Web Conference, 1294-1295, 2019 | 3 | 2019 |
| Identifying research talent using web-centric databases A Dumitrache, P Groth, P Van Den Besselaar Proceedings of the 5th Annual ACM Web Science Conference, 57-60, 2013 | 3 | 2013 |
| BauDenkMalNetz-Creating a Semantically Annotated Web Resource of Historical Buildings. A Dumitrache, C Lange SePublica, 2011 | 3 | 2011 |
| Reports of the workshops held at the sixth AAAI conference on human computation and crowdsourcing L Aroyo, A Dumitrache, JV Nickerson, M Lease, P Michelucci AI Magazine 39 (4), 57-63, 2018 | 2 | 2018 |
Lora AroyoResearch Scientists @Google Research NYCVerified email at google.com
