Joachim Bingel

According to our database, Joachim Bingel authored at least 19 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Disembodied Machine Learning: On the Illusion of Objectivity in NLP.

Zeerak Waseem, Smarika Lulz, Joachim Bingel, Isabelle Augenstein

CoRR, 2021

2019

Domain Transfer in Dialogue Systems without Turn-Level Supervision.

Joachim Bingel, Victor Petrén Bach Hansen, Ana Valeria González-Garduño, Pawel Budzianowski, Isabelle Augenstein, Anders Søgaard

CoRR, 2019

CoAStaL at SemEval-2019 Task 3: Affect Classification in Dialogue using Attentive BiLSTMs.

Ana Valeria González-Garduño, Victor Petrén Bach Hansen, Joachim Bingel, Isabelle Augenstein, Anders Søgaard

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Latent Multi-Task Architecture Learning.

Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Sequence Classification with Human Attention.

Maria Barrett, Joachim Bingel, Nora Hollenstein, Marek Rei, Anders Søgaard

Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Lexi: A tool for adaptive, personalized text simplification.

Joachim Bingel, Gustavo Paetzold, Anders Søgaard

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Predicting misreadings from gaze in children with reading difficulties.

Joachim Bingel, Maria Barrett, Sigrid Klerke

Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications@NAACL-HLT 2018, 2018

Cross-lingual complex word identification with multitask learning.

Joachim Bingel, Johannes Bjerva

Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications@NAACL-HLT 2018, 2018

Multi-task learning for historical text normalization: Size matters.

Marcel Bollmann, Anders Søgaard, Joachim Bingel

Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP, 2018

2017

Sluice networks: Learning what to share between loosely related tasks.

Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard

CoRR, 2017

Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs.

Fernando Alva-Manchego, Joachim Bingel, Gustavo Paetzold, Carolina Scarton, Lucia Specia

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Identifying beneficial task relations for multi-task learning in deep neural networks.

Joachim Bingel, Anders Søgaard

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Learning attention for historical text normalization by learning to pronounce.

Marcel Bollmann, Joachim Bingel, Anders Søgaard

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

CoastalCPH at SemEval-2016 Task 11: The importance of designing your Neural Networks right.

Joachim Bingel, Natalie Schluter, Héctor Martínez Alonso

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

KorAP Architecture ― Diving in the Deep Sea of Corpus Data.

Nils Diewald, Michael Hanl, Eliza Margaretha, Joachim Bingel, Marc Kupietz, Piotr Banski, Andreas Witt

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Text Simplification as Tree Labeling.

Joachim Bingel, Anders Søgaard

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Extracting token-level signals of syntactic processing from fMRI - with an application to PoS induction.

Joachim Bingel, Maria Barrett, Anders Søgaard

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Weakly Supervised Part-of-speech Tagging Using Eye-tracking Data.

Maria Barrett, Joachim Bingel, Frank Keller, Anders Søgaard

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2014

Named Entity Tagging a Very Large Unbalanced Corpus: Training and Evaluating NE Classifiers.

Joachim Bingel, Thomas N. Haider

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014