Verb Polarity Frames: a New Resource and its Application in Target-specific Polarity Classification. - Manfred Klenner; Michael Amsler; Nora Hollenstein (KONVENS, 2014)

SA-UZH: Verb-based Sentiment Analysis. - Nora Hollenstein; Michael Amsler; Martina Bachmann; Manfred Klenner (SemEval@COLING, 2014)

Compilation of a Swiss German Dialect Corpus and its Application to PoS Tagging. - Nora Hollenstein; Noëmi Aepli (VarDial@COLING, 2014)

Inducing Domain-specific Noun Polarity Guided by Domain-independent Polarity Preferences of Adjectives. - Manfred Klenner; Michael Amsler; Nora Hollenstein (WASSA@ACL, 2014)

A Resource for Natural Language Processing of Swiss German Dialects. - Nora Hollenstein; Noëmi Aepli (GSCL, 2015)

Inconsistency Detection in Semantic Annotation. - Nora Hollenstein; Nathan Schneider 001; Bonnie L. Webber (LREC, 2016)

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 001 (Louhi@EMNLP, 2018)

Sequence Classification with Human Attention. - Maria Barrett; Joachim Bingel; Nora Hollenstein; Marek Rei; Anders Søgaard (CoNLL, 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 001 (SemEval@NAACL-HLT, 2018)

CogniVal: A Framework for Cognitive Word Embedding Evaluation. - Nora Hollenstein; Antonio de la Torre; Nicolas Langer; Ce Zhang 001 (CoNLL, 2019)

Entity Recognition at First Sight: Improving NER with Eye Movement Information. - Nora Hollenstein; Ce Zhang 001 (NAACL-HLT (1), 2019)

Non-Invasive Silent Speech Recognition in Multiple Sclerosis with Dysphonia. - Arnav Kapur; Utkarsh Sarawgi; Eric Wadkins; Matthew Wu; Nora Hollenstein; Pattie Maes (ML4H@NeurIPS, 2019)

Advancing NLP with Cognitive Language Processing Signals. - Nora Hollenstein; Maria Barrett; Marius Troendle; Francesco Bigiolli; Nicolas Langer; Ce Zhang 001 (CoRR, 2019)

CogniVal in Action: An Interface for Customizable Cognitive Word Embedding Evaluation. - Nora Hollenstein; Adrian Van der Lek; Ce Zhang 001 (COLING (Demonstrations), 2020)

Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation. - Giuseppe Russo; Nora Hollenstein; Claudiu Cristian Musat; Ce Zhang 001 (EMNLP (Findings), 2020)

ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation. - Nora Hollenstein; Marius Troendle; Ce Zhang 001; Nicolas Langer (LREC, 2020)

Human brain activity for machine attention. - Lukas Muttenthaler; Nora Hollenstein; Maria Barrett (CoRR, 2020)

On Automatic Feasibility Study for Machine Learning Application Development with ease.ml/snoopy. - Cédric Renggli; Luka Rimanic; Luka Kolar; Nora Hollenstein; Wentao Wu 001; Ce Zhang 001 (CoRR, 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)

Neural dynamics of sentiment processing during naturalistic sentence reading. - Christian Pfeiffer; Nora Hollenstein; Ce Zhang 001; Nicolas Langer (NeuroImage, 2020)

CMCL 2021 Shared Task on Eye-Tracking Prediction. - Nora Hollenstein; Emmanuele Chersoni; Cassandra L. Jacobs; Yohei Oseki; Laurent Prévot 001; Enrico Santus (CMLS, 2021)

Relative Importance in Sentence Processing. - Nora Hollenstein; Lisa Beinborn (ACL/IJCNLP (2), 2021)

Ease.ML: A Lifecycle Management System for Machine Learning. - Leonel Aguilar Melgar; David Dao; Shaoduo Gan; Nezihe Merve Gürel; Nora Hollenstein; Jiawei Jiang 001; Bojan Karlas; Thomas Lemmin; Tian Li 005; Yang Li 106; Susie Xi Rao; Johannes Rausch; et al. (CIDR, 2021)

Multilingual Language Models Predict Human Reading Behavior. - Nora Hollenstein; Federico Pirovano; Ce Zhang 001; Lena A. Jäger; Lisa Beinborn (NAACL-HLT, 2021)

Evaluating Bayes Error Estimators on Real-World Datasets with FeeBee. - Cédric Renggli; Luka Rimanic; Nora Hollenstein; Ce Zhang 001 (NeurIPS Datasets and Benchmarks, 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 001 (CoRR, 2021)

Evaluating Bayes Error Estimators on Read-World Datasets with FeeBee. - Cédric Renggli; Luka Rimanic; Nora Hollenstein; Ce Zhang 001 (CoRR, 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)

Leveraging Cognitive Processing Signals for Natural Language Understanding. - Nora Hollenstein (2021)

Interpreting Character Embeddings With Perceptual Representations: The Case of Shape, Sound, and Color. - Sidsel Boldsen; Manex Agirrezabal; Nora Hollenstein (ACL (1), 2022)

Patterns of Text Readability in Human and Predicted Eye Movements. - Nora Hollenstein; Itziar Gonzalez-Dios; Lisa Beinborn; Lena A. Jäger (CogALex@AACL/IJCNLP, 2022)

Every word counts: A multilingual analysis of individual human alignment with model attention. - Stephanie Brandl; Nora Hollenstein (AACL/IJCNLP (2), 2022)

The Copenhagen Corpus of Eye Tracking Recordings from Natural Reading of Danish Texts. - Nora Hollenstein; Maria Barrett; Marina Björnsdóttir (LREC, 2022)

Dynamic Human Evaluation for Relative Model Comparisons. - Thórhildur Thorleiksdóttir; Cédric Renggli; Nora Hollenstein; Ce Zhang 001 (LREC, 2022)

Synthesizing Human Gaze Feedback for Improved NLP Performance. - Varun Khurana; Yaman Kumar 001; Nora Hollenstein; Rajesh Kumar; Balaji Krishnamurthy (EACL, 2023)

Cross-Lingual Transfer of Cognitive Processing Complexity. - Charlotte Pouw; Nora Hollenstein; Lisa Beinborn (EACL (Findings), 2023)

Long-Range Language Modeling with Selective Cache. - Xinting Huang; Nora Hollenstein (EMNLP (Findings), 2023)

PLM-AS: Pre-trained Language Models Augmented with Scanpaths for Sentiment Classification. - Duo Yang 002; Nora Hollenstein (NLDL, 2023)

Dyslexia Prediction from Natural Reading of Danish Texts. - Marina Björnsdóttir; Nora Hollenstein; Maria Barrett (NoDaLiDa, 2023)

WebQAmGaze: A Multilingual Webcam Eye-Tracking-While-Reading Dataset. - Tiago Ribeiro; Stephanie Brandl; Anders Søgaard; Nora Hollenstein (CoRR, 2023)

Longer Fixations, More Computation: Gaze-Guided Recurrent Neural Networks. - Xinting Huang; Jiajing Wan; Ioannis Kritikos; Nora Hollenstein (CoRR, 2023)

Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations. - Stephanie Brandl; Oliver Eberle; Tiago Ribeiro; Anders Søgaard; Nora Hollenstein (LREC/COLING, 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 (LREC/COLING, 2024)

Eye-Tracking Features Masking Transformer Attention in Question-Answering Tasks. - Leran Zhang; Nora Hollenstein (LREC/COLING, 2024)

MultiplEYE: Creating a multilingual eye-tracking-while-reading corpus. - Deborah Noemie Jakobi; Maja Stegenwallner-Schütz; Nora Hollenstein; Cui Ding; Ramune Kaspere; Ana Matic Skoric; Eva Pavlinusic Vilus; Stefan Frank; Marie-Luise Müller; Kristine M. Jensen de López; Nik Kharlamov; Hanne B. Søndergaard Knudsen; et al. (ETRA, 2025)