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Author

Isabelle Augenstein

Observed names: Augenstein, I, Augenstein, Isabelle, Augenstein, Isabelle; id_orcid 0000-0003-1562-7909
Institutions: University of Copenhagen, Korea Advanced Institute of Science and Technology, University of Colorado Boulder, University of Cambridge, New York University, The University of Texas at Austin, Aalborg University, Stanford University
Observed institutions: Uppsala University, University of Copenhagen, Nvidia (United Kingdom), Hasso Plattner Institute, Korea Advanced Institute of Science and Technology, University of Colorado Boulder, University of Washington, Charles University, Heidelberg University, University of Cambridge, Technische Universität Darmstadt, ETH Zurich, Nvidia (United States), Max Planck Institute for Human Cognitive and Brain Sciences, Allen Institute for Artificial Intelligence, Digital Research Infrastructure for Language Technologies, Arts and Humanities, University College London, New York University, Chalmers University of Technology, Technische Universität Dresden, University of Pennsylvania, The University of Texas at Austin, Aalborg University, University of Sheffield, Stanford University
ORCID: 0000-0003-1562-7909
Observed ORCID: 0000-0003-1562-7909
OpenAlex ID: A5018976680
Stance Detection with Bidirectional Conditional Encoding
2016 · Isabelle Augenstein, Tim Rocktäschel, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 401
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications
2017 · Isabelle Augenstein, Mrinal Das, et al. · International Workshop on Semantic Evaluation (SemEval) · 317
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Latent Multi-Task Architecture Learning
2019 · Ruder, Sebastian, Bingel, Joachim, et al. · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · 313
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emoji2vec: Learning Emoji Representations from their Description
2016 · Ben Eisner, Tim Rocktäschel, et al. · International Workshop on Natural Language Processing for Social Media (SocialNLP) · 291
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
2021 · Andreas Holzinger, Matthias Dehmer, et al. · Information Fusion · 214
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A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
2017 · Riedel, Benjamin, Augenstein, Isabelle, et al. · arXiv (Cornell University) · 197
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MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
2019 · Isabelle Augenstein, Christina Lioma, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 191
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Factuality challenges in the era of large language models and opportunities for fact-checking
2024 · Isabelle Augenstein, Timothy Baldwin, et al. · Nature Machine Intelligence · 188
A Diagnostic Study of Explainability Techniques for Text Classification
2020 · Pepa Atanasova, Jakob Grue Simonsen, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 185
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QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
2022 · Anna Rogers, Matt Gardner, et al. · ACM Computing Surveys · 162
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Discourse-aware rumour stance classification in social media using sequential classifiers
2017 · Arkaitz Zubiaga, Elena Kochkina, et al. · Information Processing & Management · 146
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Generating Fact Checking Explanations
2020 · Pepa Atanasova, Jakob Grue Simonsen, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 138
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A Survey on Stance Detection for Mis- and Disinformation Identification
2022 · Momchil Hardalov, Arnav Arora, et al. · Findings of the Association for Computational Linguistics: NAACL · 131
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Turing at SemEval-2017 task 8 : sequential approach to rumour stance \nclassification with branch-LSTM \n
2017 · Kochkina, Elena, Liakata, Maria, et al. · Warwick Research Archive Portal (University of Warwick) · 124
Generalisation in named entity recognition: A quantitative analysis
2017 · Isabelle Augenstein, Leon Derczynski, et al. · Computer Speech & Language · 123
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Sluice networks: Learning what to share between loosely related tasks.
2017 · Sebastian Ruder, Joachim Bingel, et al. · arXiv (Cornell University) · 111
A Supervised Approach to Extractive Summarisation of Scientific Papers
2017 · Ed Collins, Isabelle Augenstein, et al. · Conference on Computational Natural Language Learning · 109
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Zero-Shot Cross-Lingual Transfer with Meta Learning
2020 · Farhad Nooralahzadeh, Giannis Bekoulis, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 107
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LODifier: Generating Linked Data from Unstructured Text
2012 · Isabelle Augenstein, Sebastian Padó, et al. · Lecture notes in computer science · 99
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned, and Perspectives
2022 · Nils Rethmeier, Isabelle Augenstein · ACM Computing Surveys · 96
Detecting Harmful Content on Online Platforms: What Platforms Need vs. Where Research Efforts Go
2023 · Arnav Arora, Preslav Nakov, et al. · ACM Computing Surveys · 86
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Multi-Task Learning of Keyphrase Boundary Classification
2017 · Isabelle Augenstein, Anders Søgaard · Proceedings of the conference - Association for Computational Linguistics. Meeting · 78
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Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
2022 · Malte Ostendorff, Nils Rethmeier, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 65
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Learning what to share between loosely related tasks
2017 · Sebastian Ruder, Joachim Bingel, et al. · Research at the University of Copenhagen (University of Copenhagen) · 62
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Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training
2022 · Momchil Hardalov, Arnav Arora, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 60
Works count: 344
Citation count: 5,992
H-index: 37
I10-index: 91
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