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On Automatic Feasibility Study for Machine Learning Application Development with ease.ml/snoopy

Oct 16, 2020
Cedric Renggli, Luka Rimanic, Luka Kolar, Nora Hollenstein, Wentao Wu, Ce Zhang


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Human brain activity for machine attention

Jun 09, 2020
Lukas Muttenthaler, Nora Hollenstein, Maria Barrett


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Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation

Apr 30, 2020
Giuseppe Russo, Nora Hollenstein, Claudiu Musat, Ce Zhang


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ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation

Dec 02, 2019
Nora Hollenstein, Marius Troendle, Ce Zhang, Nicolas Langer


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CogniVal: A Framework for Cognitive Word Embedding Evaluation

Oct 29, 2019
Nora Hollenstein, Antonio de la Torre, Nicolas Langer, Ce Zhang

* accepted at CoNLL 2019 

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Advancing NLP with Cognitive Language Processing Signals

Apr 04, 2019
Nora Hollenstein, Maria Barrett, Marius Troendle, Francesco Bigiolli, Nicolas Langer, Ce Zhang


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Entity Recognition at First Sight: Improving NER with Eye Movement Information

Mar 28, 2019
Nora Hollenstein, Ce Zhang

* Accepted at NAACL-HLT 2019 

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Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks

Sep 28, 2018
Ivan Girardi, Pengfei Ji, An-phi Nguyen, Nora Hollenstein, Adam Ivankay, Lorenz Kuhn, Chiara Marchiori, Ce Zhang

* 10 pages, 2 figures, EMNLP workshop LOUHI 2018 

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ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction

Apr 05, 2018
Jonathan Rotsztejn, Nora Hollenstein, Ce Zhang

* Proceedings of The 12th International Workshop on Semantic Evaluation, 2018, Association for Computational Linguistics, p. 689-696, http://aclweb.org/anthology/S18-1112 
* Accepted to SemEval 2018 (12th International Workshop on Semantic Evaluation) 

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