Understanding and mitigating worker biases in the crowdsourced collection of subjective judgments C Hube, B Fetahu, U Gadiraju Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019 | 140 | 2019 |
SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER) S Malmasi, A Fang, B Fetahu, S Kar, O Rokhlenko Proceedings of the 16th International Workshop on Semantic Evaluation …, 2022 | 100 | 2022 |
MultiCoNER: a Large-scale Multilingual dataset for Complex Named Entity Recognition S Malmasi, A Fang, B Fetahu, S Kar, O Rokhlenko | 85 | 2022 |
Exploring TED talks as linked data for education D Taibi, S Chawla, S Dietze, I Marenzi, B Fetahu British Journal of Educational Technology 46 (5), 1092-1096, 2015 | 76 | 2015 |
Training workers for improving performance in crowdsourcing microtasks U Gadiraju, B Fetahu, R Kawase European Conference on Technology Enhanced Learning, 100-114, 2015 | 75 | 2015 |
Detecting biased statements in wikipedia C Hube, B Fetahu Companion Proceedings of the The Web Conference 2018, 1779-1786, 2018 | 74 | 2018 |
Combining a co-occurrence-based and a semantic measure for entity linking BP Nunes, S Dietze, MA Casanova, R Kawase, B Fetahu, W Nejdl Extended Semantic Web Conference, 548-562, 2013 | 72 | 2013 |
Using worker self-assessments for competence-based pre-selection in crowdsourcing microtasks U Gadiraju, B Fetahu, R Kawase, P Siehndel, S Dietze ACM Transactions on Computer-Human Interaction (TOCHI) 24 (4), 1-26, 2017 | 71 | 2017 |
Neural Based Statement Classification for Biased Language C Hube, B Fetahu Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 69 | 2019 |
A Scalable Approach for Efficiently Generating Structured Dataset Topic Profiles B Fetahu, S Dietze, BP Nunes, M Antonio In Proceedings of the 11th Extended Semantic Web Conference, 2014 | 60 | 2014 |
FAE: A Fairness-Aware Ensemble Framework V Iosifidis, B Fetahu, E Ntoutsi 2019 IEEE International Conference on Big Data (Big Data), 1375-1380, 2019 | 59 | 2019 |
Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web queries B Fetahu, A Fang, O Rokhlenko, S Malmasi | 58 | 2021 |
Automated News Suggestions for Populating Wikipedia Entity Pages B Fetahu, K Markert, A Anand Proceedings of the 24th ACM International on Conference on Information and …, 2015 | 48 | 2015 |
Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability M Redi, B Fetahu, J Morgan, D Taraborelli The World Wide Web Conference, 1567-1578, 2019 | 43 | 2019 |
Complex matching of rdf datatype properties BP Nunes, A Mera, MA Casanova, B Fetahu, LAPP Leme, S Dietze International Conference on Database and Expert Systems Applications, 195-208, 2013 | 41 | 2013 |
TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables B Fetahu, A Anand, M Koutraki The World Wide Web Conference, 2736-2742, 2019 | 40 | 2019 |
SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2) B Fetahu, S Kar, Z Chen, O Rokhlenko, S Malmasi arXiv preprint arXiv:2305.06586, 2023 | 39 | 2023 |
Finding News Citations for Wikipedia B Fetahu, K Markert, W Nejdl, A Anand Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 39 | 2016 |
How much is Wikipedia lagging behind news? B Fetahu, A Anand, A Anand Proceedings of the ACM Web Science Conference, 1-9, 2015 | 37 | 2015 |
MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition B Fetahu, Z Chen, S Kar, O Rokhlenko, S Malmasi | 31 | 2023 |