| Latent multi-task architecture learning S Ruder, J Bingel, I Augenstein, A Søgaard Proceedings of the AAAI conference on artificial intelligence 33 (01), 4822-4829, 2019 | 350 | 2019 |
| Identifying beneficial task relations for multi-task learning in deep neural networks J Bingel, A Søgaard arXiv preprint arXiv:1702.08303, 2017 | 316 | 2017 |
| Sluice networks: Learning what to share between loosely related tasks S Ruder, J Bingel, I Augenstein, A Søgaard arXiv preprint arXiv:1705.08142 2 (1), 2017 | 208 | 2017 |
| Sequence classification with human attention M Barrett, J Bingel, N Hollenstein, M Rei, A Søgaard Proceedings of the 22nd conference on computational natural language …, 2018 | 124 | 2018 |
| Bridging the gaps: Multi task learning for domain transfer of hate speech detection Z Waseem, J Thorne, J Bingel Online harassment, 29-55, 2018 | 112 | 2018 |
| Weakly supervised part-of-speech tagging using eye-tracking data M Barrett, J Bingel, F Keller, A Søgaard Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 104 | 2016 |
| Learning how to simplify from explicit labeling of complex-simplified text pairs F Alva-Manchego, J Bingel, G Paetzold, C Scarton, L Specia Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 83 | 2017 |
| Lexi: A tool for adaptive, personalized text simplification J Bingel, G Paetzold, A Søgaard Proceedings of the 27th International Conference on Computational …, 2018 | 46 | 2018 |
| KorAP Architecture―Diving in the Deep Sea of Corpus Data N Diewald, M Hanl, E Margaretha, J Bingel, M Kupietz, P Bański, A Witt Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 46 | 2016 |
| Disembodied machine learning: On the illusion of objectivity in nlp Z Waseem, S Lulz, J Bingel, I Augenstein arXiv preprint arXiv:2101.11974, 2021 | 43 | 2021 |
| KorAP: the new corpus analysis platform at IDS Mannheim P Bański, J Bingel, N Diewald, E Frick, M Hanl, M Kupietz, P Pȩzik, ... Human language technology challenges for computer science and linguistics …, 2013 | 43 | 2013 |
| Learning attention for historical text normalization by learning to pronounce M Bollmann, J Bingel, A Søgaard Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 41 | 2017 |
| Extracting token-level signals of syntactic processing from fMRI-with an application to PoS induction J Bingel, M Barrett, A Søgaard Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 26 | 2016 |
| Text simplification as tree labeling J Bingel, A Søgaard Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 24 | 2016 |
| Cross-lingual complex word identification with multitask learning J Bingel, J Bjerva Proceedings of the thirteenth workshop on innovative use of NLP for building …, 2018 | 22 | 2018 |
| Predicting misreadings from gaze in children with reading difficulties J Bingel, M Barrett, S Klerke Proceedings of the thirteenth workshop on innovative use of NLP for building …, 2018 | 20 | 2018 |
| Multi-task learning for historical text normalization: Size matters M Bollmann, A Søgaard, J Bingel Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP …, 2018 | 19 | 2018 |
| CoastalCPH at SemEval-2016 Task 11: The importance of designing your Neural Networks right J Bingel, N Schluter, HM Alonso Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016 | 17 | 2016 |
| KoralQuery–a general corpus query protocol J Bingel, N Diewald Proceedings of the Workshop on Innovative Corpus Query and Visualization …, 2015 | 15 | 2015 |
| Named entity tagging a very large unbalanced corpus: training and evaluating NE classifiers J Bingel, T Haider LREC, 2578-2583, 2014 | 11 | 2014 |
Anders SøgaardFull Professor in NLP and Machine Learning, University of CopenhagenBestätigte E-Mail-Adresse bei di.ku.dk
