Nora Hollenstein

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 52

Top Topics

Sequence Classification

Neural Dynamics

Natural Language Processing

Top Venues

EMNLP (Findings)

Publications

Stephanie Brandl, Oliver Eberle, Tiago Ribeiro, Anders Søgaard, Nora Hollenstein
Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations. LREC/COLING (2024)
Leran Zhang, Nora Hollenstein
Eye-Tracking Features Masking Transformer Attention in Question-Answering Tasks. LREC/COLING (2024)
Stephanie Brandl, Oliver Eberle, Tiago Ribeiro, Anders Søgaard, Nora Hollenstein
Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations. CoRR (2024)
David R. Reich, Shuwen Deng, Marina Björnsdóttir, Lena A. Jäger, Nora Hollenstein
Reading Does Not Equal Reading: Comparing, Simulating and Exploiting Reading Behavior across Populations. LREC/COLING (2024)
Charlotte Pouw, Nora Hollenstein, Lisa Beinborn
Cross-Lingual Transfer of Cognitive Processing Complexity. EACL (Findings) (2023)
Xinting Huang, Jiajing Wan, Ioannis Kritikos, Nora Hollenstein
Longer Fixations, More Computation: Gaze-Guided Recurrent Neural Networks. CoRR (2023)
Charlotte Pouw, Nora Hollenstein, Lisa Beinborn
Cross-Lingual Transfer of Cognitive Processing Complexity. CoRR (2023)
Duo Yang, Nora Hollenstein
PLM-AS: Pre-trained Language Models Augmented with Scanpaths for Sentiment Classification. NLDL (2023)
Tiago Ribeiro, Stephanie Brandl, Anders Søgaard, Nora Hollenstein
WebQAmGaze: A Multilingual Webcam Eye-Tracking-While-Reading Dataset. CoRR (2023)
Xinting Huang, Nora Hollenstein
Long-Range Language Modeling with Selective Cache. EMNLP (Findings) (2023)
Marina Björnsdóttir, Nora Hollenstein, Maria Barrett
Dyslexia Prediction from Natural Reading of Danish Texts. NoDaLiDa (2023)
Varun Khurana, Yaman Kumar Singla, Nora Hollenstein, Rajesh Kumar, Balaji Krishnamurthy
Synthesizing Human Gaze Feedback for Improved NLP Performance. CoRR (2023)
Varun Khurana, Yaman Kumar, Nora Hollenstein, Rajesh Kumar, Balaji Krishnamurthy
Synthesizing Human Gaze Feedback for Improved NLP Performance. EACL (2023)
Thórhildur Thorleiksdóttir, Cédric Renggli, Nora Hollenstein, Ce Zhang
Dynamic Human Evaluation for Relative Model Comparisons. LREC (2022)
Nora Hollenstein, Itziar Gonzalez-Dios, Lisa Beinborn, Lena A. Jäger
Patterns of Text Readability in Human and Predicted Eye Movements. CogALex@AACL/IJCNLP (2022)
Nora Hollenstein, Maria Barrett, Marina Björnsdóttir
The Copenhagen Corpus of Eye Tracking Recordings from Natural Reading of Danish Texts. CoRR (2022)
Stephanie Brandl, Nora Hollenstein
Every word counts: A multilingual analysis of individual human alignment with model attention. CoRR (2022)
Nora Hollenstein, Maria Barrett, Marina Björnsdóttir
The Copenhagen Corpus of Eye Tracking Recordings from Natural Reading of Danish Texts. LREC (2022)
Sidsel Boldsen, Manex Agirrezabal, Nora Hollenstein
Interpreting Character Embeddings With Perceptual Representations: The Case of Shape, Sound, and Color. ACL (1) (2022)
Stephanie Brandl, Nora Hollenstein
Every word counts: A multilingual analysis of individual human alignment with model attention. AACL/IJCNLP (2) (2022)
Cédric Renggli, Luka Rimanic, Nora Hollenstein, Ce Zhang
Evaluating Bayes Error Estimators on Read-World Datasets with FeeBee. CoRR (2021)
Nora Hollenstein, Cédric Renggli, Benjamin Glaus, Maria Barrett, Marius Troendle, Nicolas Langer, Ce Zhang
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing. CoRR (2021)
Nora Hollenstein, Lisa Beinborn
Relative Importance in Sentence Processing. CoRR (2021)
Cédric Renggli, Luka Rimanic, Nora Hollenstein, Ce Zhang
Evaluating Bayes Error Estimators on Real-World Datasets with FeeBee. NeurIPS Datasets and Benchmarks (2021)
Nora Hollenstein, Emmanuele Chersoni, Cassandra L. Jacobs, Yohei Oseki, Laurent Prévot, Enrico Santus
CMCL 2021 Shared Task on Eye-Tracking Prediction. CMLS (2021)
Thórhildur Thorleiksdóttir, Cédric Renggli, Nora Hollenstein, Ce Zhang
Dynamic Human Evaluation for Relative Model Comparisons. CoRR (2021)
Nora Hollenstein, Federico Pirovano, Ce Zhang, Lena A. Jäger, Lisa Beinborn
Multilingual Language Models Predict Human Reading Behavior. CoRR (2021)
Nora Hollenstein, Lisa Beinborn
Relative Importance in Sentence Processing. ACL/IJCNLP (2) (2021)
Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang
Ease.ML: A Lifecycle Management System for Machine Learning. CIDR (2021)
Nora Hollenstein, Federico Pirovano, Ce Zhang, Lena A. Jäger, Lisa Beinborn
Multilingual Language Models Predict Human Reading Behavior. NAACL-HLT (2021)
Nora Hollenstein, Marius Tröndle, Martyna Plomecka, Samuel Kiegeland, Yilmazcan Özyurt, Lena A. Jäger, Nicolas Langer
Reading Task Classification Using EEG and Eye-Tracking Data. CoRR (2021)
Lukas Muttenthaler, Nora Hollenstein, Maria Barrett
Human brain activity for machine attention. CoRR (2020)
Nora Hollenstein, Marius Troendle, Ce Zhang, Nicolas Langer
ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation. LREC (2020)
Cédric Renggli, Luka Rimanic, Luka Kolar, Nora Hollenstein, Wentao Wu, Ce Zhang
On Automatic Feasibility Study for Machine Learning Application Development with ease.ml/snoopy. CoRR (2020)
Maria Barrett, Nora Hollenstein
Sequence labelling and sequence classification with gaze: Novel uses of eye-tracking data for Natural Language Processing. Lang. Linguistics Compass 14 (11) (2020)
Nora Hollenstein, Adrian Van der Lek, Ce Zhang
CogniVal in Action: An Interface for Customizable Cognitive Word Embedding Evaluation. COLING (Demonstrations) (2020)
Christian Pfeiffer, Nora Hollenstein, Ce Zhang, Nicolas Langer
Neural dynamics of sentiment processing during naturalistic sentence reading. NeuroImage 218 (2020)
Giuseppe Russo, Nora Hollenstein, Claudiu Musat, Ce Zhang
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation. CoRR (2020)
Giuseppe Russo, Nora Hollenstein, Claudiu Cristian Musat, Ce Zhang
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation. EMNLP (Findings) (2020)
Nora Hollenstein, Antonio de la Torre, Nicolas Langer, Ce Zhang
CogniVal: A Framework for Cognitive Word Embedding Evaluation. CoNLL (2019)
Nora Hollenstein, Marius Troendle, Ce Zhang, Nicolas Langer
ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation. CoRR (2019)
Arnav Kapur, Utkarsh Sarawgi, Eric Wadkins, Matthew Wu, Nora Hollenstein, Pattie Maes
Non-Invasive Silent Speech Recognition in Multiple Sclerosis with Dysphonia. ML4H@NeurIPS (2019)
Nora Hollenstein, Ce Zhang
Entity Recognition at First Sight: Improving NER with Eye Movement Information. NAACL-HLT (1) (2019)
Nora Hollenstein, Antonio de la Torre, Nicolas Langer, Ce Zhang
CogniVal: A Framework for Cognitive Word Embedding Evaluation. CoRR (2019)
Nora Hollenstein, Maria Barrett, Marius Troendle, Francesco Bigiolli, Nicolas Langer, Ce Zhang
Advancing NLP with Cognitive Language Processing Signals. CoRR (2019)
Nora Hollenstein, Ce Zhang
Entity Recognition at First Sight: Improving NER with Eye Movement Information. CoRR (2019)
Jonathan Rotsztejn, Nora Hollenstein, Ce Zhang
ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction. SemEval@NAACL-HLT (2018)
Ivan Girardi, Pengfei Ji, An-phi Nguyen, Nora Hollenstein, Adam Ivankay, Lorenz Kuhn, Chiara Marchiori, Ce Zhang
Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks. CoRR (2018)
Jonathan Rotsztejn, Nora Hollenstein, Ce Zhang
ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction. CoRR (2018)
Maria Barrett, Joachim Bingel, Nora Hollenstein, Marek Rei, Anders Søgaard
Sequence Classification with Human Attention. CoNLL (2018)
Ivan Girardi, Pengfei Ji, An-phi Nguyen, Nora Hollenstein, Adam Ivankay, Lorenz Kuhn, Chiara Marchiori, Ce Zhang
Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks. Louhi@EMNLP (2018)
Nora Hollenstein, Nathan Schneider, Bonnie L. Webber
Inconsistency Detection in Semantic Annotation. LREC (2016)
Nora Hollenstein, Noëmi Aepli
A Resource for Natural Language Processing of Swiss German Dialects. GSCL (2015)
Manfred Klenner, Michael Amsler, Nora Hollenstein
Verb Polarity Frames: a New Resource and its Application in Target-specific Polarity Classification. KONVENS (2014)
Nora Hollenstein, Noëmi Aepli
Compilation of a Swiss German Dialect Corpus and its Application to PoS Tagging. VarDial@COLING (2014)
Nora Hollenstein, Michael Amsler, Martina Bachmann, Manfred Klenner
SA-UZH: Verb-based Sentiment Analysis. SemEval@COLING (2014)
Manfred Klenner, Michael Amsler, Nora Hollenstein
Inducing Domain-specific Noun Polarity Guided by Domain-independent Polarity Preferences of Adjectives. WASSA@ACL (2014)