Nora Hollenstein

According to our database, Nora Hollenstein authored at least 44 papers between 2014 and 2024.

Collaborative distances:

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

2024

Eye-Tracking Features Masking Transformer Attention in Question-Answering Tasks.

Leran Zhang, Nora Hollenstein

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Reading Does Not Equal Reading: Comparing, Simulating and Exploiting Reading Behavior across Populations.

David R. Reich, Shuwen Deng, Marina Björnsdóttir, Lena A. Jäger, Nora Hollenstein

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations.

Stephanie Brandl, Oliver Eberle, Tiago Ribeiro, Anders Søgaard, Nora Hollenstein

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Longer Fixations, More Computation: Gaze-Guided Recurrent Neural Networks.

Xinting Huang, Jiajing Wan, Ioannis Kritikos, Nora Hollenstein

CoRR, 2023

WebQAmGaze: A Multilingual Webcam Eye-Tracking-While-Reading Dataset.

Tiago Ribeiro, Stephanie Brandl, Anders Søgaard, Nora Hollenstein

CoRR, 2023

Dyslexia Prediction from Natural Reading of Danish Texts.

Marina Björnsdóttir, Nora Hollenstein, Maria Barrett

Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023

PLM-AS: Pre-trained Language Models Augmented with Scanpaths for Sentiment Classification.

Duo Yang, Nora Hollenstein

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

Long-Range Language Modeling with Selective Cache.

Xinting Huang, Nora Hollenstein

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Cross-Lingual Transfer of Cognitive Processing Complexity.

Charlotte Pouw, Nora Hollenstein, Lisa Beinborn

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Synthesizing Human Gaze Feedback for Improved NLP Performance.

Varun Khurana, Yaman Kumar, Nora Hollenstein, Rajesh Kumar, Balaji Krishnamurthy

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Dynamic Human Evaluation for Relative Model Comparisons.

Thórhildur Thorleiksdóttir, Cédric Renggli, Nora Hollenstein, Ce Zhang

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

The Copenhagen Corpus of Eye Tracking Recordings from Natural Reading of Danish Texts.

Nora Hollenstein, Maria Barrett, Marina Björnsdóttir

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Every word counts: A multilingual analysis of individual human alignment with model attention.

Stephanie Brandl, Nora Hollenstein

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Patterns of Text Readability in Human and Predicted Eye Movements.

Nora Hollenstein, Itziar Gonzalez-Dios, Lisa Beinborn, Lena A. Jäger

Proceedings of the Workshop on Cognitive Aspects of the Lexicon, 2022

Interpreting Character Embeddings With Perceptual Representations: The Case of Shape, Sound, and Color.

Sidsel Boldsen, Manex Agirrezabal, Nora Hollenstein

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Leveraging Cognitive Processing Signals for Natural Language Understanding.

Nora Hollenstein

PhD thesis, 2021

Reading Task Classification Using EEG and Eye-Tracking Data.

Nora Hollenstein, Marius Tröndle, Martyna Plomecka, Samuel Kiegeland, Yilmazcan Özyurt, Lena A. Jäger, Nicolas Langer

CoRR, 2021

Evaluating Bayes Error Estimators on Read-World Datasets with FeeBee.

Cédric Renggli, Luka Rimanic, Nora Hollenstein, Ce Zhang

CoRR, 2021

Decoding EEG Brain Activity for Multi-Modal Natural Language Processing.

Nora Hollenstein, Cédric Renggli, Benjamin Glaus, Maria Barrett, Marius Troendle, Nicolas Langer, Ce Zhang

CoRR, 2021

Evaluating Bayes Error Estimators on Real-World Datasets with FeeBee.

Cédric Renggli, Luka Rimanic, Nora Hollenstein, Ce Zhang

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Multilingual Language Models Predict Human Reading Behavior.

Nora Hollenstein, Federico Pirovano, Ce Zhang, Lena A. Jäger, Lisa Beinborn

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Ease.ML: A Lifecycle Management System for Machine Learning.

Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

Relative Importance in Sentence Processing.

Nora Hollenstein, Lisa Beinborn

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

CMCL 2021 Shared Task on Eye-Tracking Prediction.

Nora Hollenstein, Emmanuele Chersoni, Cassandra L. Jacobs, Yohei Oseki, Laurent Prévot, Enrico Santus

Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 2021

2020

Neural dynamics of sentiment processing during naturalistic sentence reading.

Christian Pfeiffer, Nora Hollenstein, Ce Zhang, Nicolas Langer

NeuroImage, 2020

Sequence labelling and sequence classification with gaze: Novel uses of eye-tracking data for Natural Language Processing.

Maria Barrett, Nora Hollenstein

Lang. Linguistics Compass, 2020

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

Cédric Renggli, Luka Rimanic, Luka Kolar, Nora Hollenstein, Wentao Wu, Ce Zhang

CoRR, 2020

Human brain activity for machine attention.

Lukas Muttenthaler, Nora Hollenstein, Maria Barrett

CoRR, 2020

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

Nora Hollenstein, Marius Troendle, Ce Zhang, Nicolas Langer

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

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

Giuseppe Russo, Nora Hollenstein, Claudiu Cristian Musat, Ce Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

CogniVal in Action: An Interface for Customizable Cognitive Word Embedding Evaluation.

Nora Hollenstein, Adrian Van der Lek, Ce Zhang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Advancing NLP with Cognitive Language Processing Signals.

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

CoRR, 2019

Non-Invasive Silent Speech Recognition in Multiple Sclerosis with Dysphonia.

Arnav Kapur, Utkarsh Sarawgi, Eric Wadkins, Matthew Wu, Nora Hollenstein, Pattie Maes

Proceedings of the Machine Learning for Health Workshop, 2019

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

Nora Hollenstein, Ce Zhang

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

CogniVal: A Framework for Cognitive Word Embedding Evaluation.

Nora Hollenstein, Antonio de la Torre, Nicolas Langer, Ce Zhang

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018

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

Jonathan Rotsztejn, Nora Hollenstein, Ce Zhang

Proceedings of The 12th International Workshop on Semantic Evaluation, 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

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

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

Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, 2018

2016

Inconsistency Detection in Semantic Annotation.

Nora Hollenstein, Nathan Schneider, Bonnie L. Webber

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

2015

A Resource for Natural Language Processing of Swiss German Dialects.

Nora Hollenstein, Noëmi Aepli

Proceedings of the International Conference of the German Society for Computational Linguistics and Language Technology, 2015

2014

Inducing Domain-specific Noun Polarity Guided by Domain-independent Polarity Preferences of Adjectives.

Manfred Klenner, Michael Amsler, Nora Hollenstein

Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, 2014

Compilation of a Swiss German Dialect Corpus and its Application to PoS Tagging.

Nora Hollenstein, Noëmi Aepli

Proceedings of the First Workshop on Applying NLP Tools to Similar Languages, 2014

SA-UZH: Verb-based Sentiment Analysis.

Nora Hollenstein, Michael Amsler, Martina Bachmann, Manfred Klenner

Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Verb Polarity Frames: a New Resource and its Application in Target-specific Polarity Classification.

Manfred Klenner, Michael Amsler, Nora Hollenstein

Proceedings of the 12th Edition of the Konvens Conference, 2014