| 2019 | AAAI | Latent Multi-Task Architecture Learning. | Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Sgaard |
| 2018 | COLING | Lexi: A tool for adaptive, personalized text simplification. | Joachim Bingel, Gustavo Paetzold, Anders Sgaard |
| 2018 | CoNLL | Sequence Classification with Human Attention. | Maria Barrett, Joachim Bingel, Nora Hollenstein, Marek Rei, Anders Sgaard |
| 2017 | ACL | Learning attention for historical text normalization by learning to pronounce. | Marcel Bollmann, Joachim Bingel, Anders Sgaard |
| 2017 | EACL | Identifying beneficial task relations for multi-task learning in deep neural networks. | Joachim Bingel, Anders Sgaard |
| 2017 | IJCNLP | Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs. | Fernando Alva-Manchego, Joachim Bingel, Gustavo Paetzold, Carolina Scarton, Lucia Specia |
| 2016 | ACL | Weakly Supervised Part-of-speech Tagging Using Eye-tracking Data. | Maria Barrett, Joachim Bingel, Frank Keller, Anders Sgaard |
| 2016 | ACL | Extracting token-level signals of syntactic processing from fMRI - with an application to PoS induction. | Joachim Bingel, Maria Barrett, Anders Sgaard |
| 2016 | ACL | Text Simplification as Tree Labeling. | Joachim Bingel, Anders Sgaard |
| 2016 | LREC | KorAP Architecture ― Diving in the Deep Sea of Corpus Data. | Nils Diewald, Michael Hanl, Eliza Margaretha, Joachim Bingel, Marc Kupietz, Piotr Banski, Andreas Witt |
| 2014 | LREC | Named Entity Tagging a Very Large Unbalanced Corpus: Training and Evaluating NE Classifiers. | Joachim Bingel, Thomas N. Haider |