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2020 – today
- 2021
[i4]Zeerak Waseem, Smarika Lulz, Joachim Bingel, Isabelle Augenstein:
Disembodied Machine Learning: On the Illusion of Objectivity in NLP. CoRR abs/2101.11974 (2021)
2010 – 2019
- 2019
- [c16]Sebastian Ruder, Joachim Bingel, Isabelle Augenstein
, Anders Søgaard:
Latent Multi-Task Architecture Learning. AAAI 2019: 4822-4829 - [c15]Ana Valeria González-Garduño, Victor Petrén Bach Hansen, Joachim Bingel, Isabelle Augenstein, Anders Søgaard:
CoAStaL at SemEval-2019 Task 3: Affect Classification in Dialogue using Attentive BiLSTMs. SemEval@NAACL-HLT 2019: 169-174 - [i3]Joachim Bingel, Victor Petrén Bach Hansen, Ana Valeria González-Garduño, Pawel Budzianowski, Isabelle Augenstein, Anders Søgaard:
Domain Transfer in Dialogue Systems without Turn-Level Supervision. CoRR abs/1909.07101 (2019) - 2018
- [c14]Marcel Bollmann, Anders Søgaard, Joachim Bingel:
Multi-task learning for historical text normalization: Size matters. DeepLo@ACL 2018: 19-24 - [c13]Joachim Bingel, Maria Barrett, Sigrid Klerke:
Predicting misreadings from gaze in children with reading difficulties. BEA@NAACL-HLT 2018: 24-34 - [c12]Joachim Bingel, Johannes Bjerva:
Cross-lingual complex word identification with multitask learning. BEA@NAACL-HLT 2018: 166-174 - [c11]Joachim Bingel, Gustavo Paetzold, Anders Søgaard:
Lexi: A tool for adaptive, personalized text simplification. COLING 2018: 245-258 - [c10]Maria Barrett, Joachim Bingel, Nora Hollenstein, Marek Rei, Anders Søgaard:
Sequence Classification with Human Attention. CoNLL 2018: 302-312 - 2017
- [c9]Marcel Bollmann, Joachim Bingel, Anders Søgaard:
Learning attention for historical text normalization by learning to pronounce. ACL (1) 2017: 332-344 - [c8]Joachim Bingel, Anders Søgaard:
Identifying beneficial task relations for multi-task learning in deep neural networks. EACL (2) 2017: 164-169 - [c7]Fernando Alva-Manchego, Joachim Bingel, Gustavo Paetzold, Carolina Scarton, Lucia Specia:
Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs. IJCNLP(1) 2017: 295-305 - [i2]Joachim Bingel, Anders Søgaard:
Identifying beneficial task relations for multi-task learning in deep neural networks. CoRR abs/1702.08303 (2017) - [i1]Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard:
Sluice networks: Learning what to share between loosely related tasks. CoRR abs/1705.08142 (2017) - 2016
- [c6]Maria Barrett, Joachim Bingel, Frank Keller, Anders Søgaard:
Weakly Supervised Part-of-speech Tagging Using Eye-tracking Data. ACL (2) 2016 - [c5]Joachim Bingel, Maria Barrett, Anders Søgaard:
Extracting token-level signals of syntactic processing from fMRI - with an application to PoS induction. ACL (1) 2016 - [c4]Joachim Bingel, Anders Søgaard:
Text Simplification as Tree Labeling. ACL (2) 2016 - [c3]Nils Diewald, Michael Hanl, Eliza Margaretha, Joachim Bingel, Marc Kupietz, Piotr Banski, Andreas Witt:
KorAP Architecture ― Diving in the Deep Sea of Corpus Data. LREC 2016 - [c2]Joachim Bingel, Natalie Schluter, Héctor Martínez Alonso:
CoastalCPH at SemEval-2016 Task 11: The importance of designing your Neural Networks right. SemEval@NAACL-HLT 2016: 1028-1033 - 2014
- [c1]Joachim Bingel, Thomas N. Haider:
Named Entity Tagging a Very Large Unbalanced Corpus: Training and Evaluating NE Classifiers. LREC 2014: 2578-2583
Coauthor Index
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