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Isabelle Augenstein
Isabelle Augenstein
Full Professor, Department of Computer Science, University of Copenhagen
Geverifieerd e-mailadres voor di.ku.dk - Homepage
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Stance Detection with Bidirectional Conditional Encoding
I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva
EMNLP 2016, 2016
5152016
SemEval 2017 Task 10: ScienceIE-Extracting Keyphrases and Relations from Scientific Publications
I Augenstein, M Das, S Riedel, L Vikraman, A McCallum
International Workshop on Semantic Evaluation (SemEval) 2017, 2017
4542017
emoji2vec: Learning Emoji Representations from their Description
B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel
SocialNLP Workshop at EMNLP 2016, 2016
4032016
Latent multi-task architecture learning
S Ruder, J Bingel, I Augenstein, A Søgaard
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4822-4829, 2019
3932019
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
B Riedel, I Augenstein, GP Spithourakis, S Riedel
arXiv preprint arXiv:1707.03264, 2017
3222017
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
I Augenstein, C Lioma, D Wang, LC Lima, C Hansen, C Hansen, ...
EMNLP 2019, 2019
2862019
A Diagnostic Study of Explainability Techniques for Text Classification
P Atanasova, JG Simonsen, C Lioma, I Augenstein
EMNLP 2020, 2020
257*2020
Generating Fact Checking Explanations
P Atanasova, JG Simonsen, C Lioma, I Augenstein
ACL 2020, 2020
236*2020
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
A Rogers, M Gardner, I Augenstein
ACM Computing Surveys (CSUR), 2022
2352022
Learning what to share between loosely related tasks
S Ruder, J Bingel, I Augenstein, A Søgaard
arXiv preprint arXiv:1705.08142, 2017
2222017
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
A Holzinger, M Dehmer, F Emmert-Streib, R Cucchiara, I Augenstein, ...
Information Fusion 79, 263-278, 2022
2012022
Discourse-aware rumour stance classification in social media using sequential classifiers
A Zubiaga, E Kochkina, M Liakata, R Procter, M Lukasik, K Bontcheva, ...
Information Processing & Management 54 (2), 273-290, 2018
1622018
Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM
E Kochkina, M Liakata, I Augenstein
International Workshop on Semantic Evaluation (SemEval) 2017, 2017
1612017
LODifier: generating linked data from unstructured text
I Augenstein, S Padó, S Rudolph
The Semantic Web: Research and Applications, 210-224, 2012
1602012
Generalisation in named entity recognition: A quantitative analysis
I Augenstein, L Derczynski, K Bontcheva
Computer Speech & Language 44, 61-83, 2017
1522017
A Survey on Stance Detection for Mis- and Disinformation Identification
M Hardalov, A Arora, P Nakov, I Augenstein
NAACL 2022, 2022
1452022
Probing Pre-Trained Language Models for Cross-Cultural Differences in Values
A Arora, LA Kaffee, I Augenstein
C3NLP @ EACL 2023, 2023
1332023
A Supervised Approach to Extractive Summarisation of Scientific Papers
E Collins, I Augenstein, S Riedel
ConLL 2017, 2017
1292017
Factuality challenges in the era of large language models and opportunities for fact-checking
I Augenstein, T Baldwin, M Cha, T Chakraborty, GL Ciampaglia, D Corney, ...
Nature Machine Intelligence, 1-12, 2024
128*2024
A Survey on Gender Bias in Natural Language Processing
K Stanczak, I Augenstein
arXiv preprint arXiv:2112.14168, 2021
1252021
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Artikelen 1–20