Isabelle Augenstein

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Kalina BontchevaProfessor of Text Analytics, University of SheffieldVerified email at sheffield.ac.uk
Anders SøgaardFull Professor in NLP and Machine Learning, University of CopenhagenVerified email at di.ku.dk
Johannes BjervaAssociate Professor, Department of Computer Science, Aalborg UniversityVerified email at cs.aau.dk
Sebastian RiedelHonorary Professor @ University College London, Researcher @ DeepMindVerified email at cs.ucl.ac.uk
Dustin WrightUniversity of CopenhagenVerified email at di.ku.dk
Pepa AtanasovaPostdoc, University of CopenhagenVerified email at di.ku.dk
Diana MaynardSenior Research Fellow, GATE team, NLP group, and CFOM, University of SheffieldVerified email at sheffield.ac.uk
Christina LiomaProfessor in Computer Science, University of CopenhagenVerified email at di.ku.dk
Jakob Grue SimonsenDepartment of Computer Science, University of Copenhagen (DIKU)Verified email at diku.dk
Arnav AroraUniversity of CopenhagenVerified email at di.ku.dk
Fabio CiravegnaDipartimento di Informatica, Università di TorinoVerified email at unito.it
Joachim BingelUniversity of CopenhagenVerified email at di.ku.dk
Andreas VlachosProfessor, University of CambridgeVerified email at cam.ac.uk
Ryan CotterellETH ZürichVerified email at inf.ethz.ch
Sebastian RuderResearch Scientist, GoogleVerified email at google.com
Momchil HardalovAWS AI LabsVerified email at amazon.com
Preslav NakovMBZUAIVerified email at mbzuai.ac.ae
Tim RocktäschelProfessor of Artificial Intelligence at UCL, Open-Endedness Team Lead at Google DeepMindVerified email at cs.ucl.ac.uk
Ziqi ZhangAccessible Intelligence, The University of SheffieldVerified email at accessibleintelligence.io
Anna Lisa GentileIBM Research, Almaden CAVerified email at ibm.com

Isabelle Augenstein

Full Professor, Department of Computer Science, University of Copenhagen

Verified email at di.ku.dk - Homepage

Natural Language Processing Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Stance Detection with Bidirectional Conditional Encoding I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva EMNLP 2016, 2016	395	2016
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	361	2017
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP Workshop at EMNLP 2016, 2016	313	2016
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	263	2017
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	257	2019
Learning what to share between loosely related tasks S Ruder, J Bingel, I Augenstein, A Søgaard arXiv preprint arXiv:1705.08142, 2017	206	2017
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	174	2019
LODifier: generating linked data from unstructured text I Augenstein, S Padó, S Rudolph The Semantic Web: Research and Applications, 210-224, 2012	147	2012
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	144	2018
A Diagnostic Study of Explainability Techniques for Text Classification P Atanasova, JG Simonsen, C Lioma, I Augenstein EMNLP 2020, 2020	140	2020
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	139	2017
Generating Fact Checking Explanations P Atanasova, JG Simonsen, C Lioma, I Augenstein ACL 2020, 2020	128	2020
Generalisation in named entity recognition: A quantitative analysis I Augenstein, L Derczynski, K Bontcheva Computer Speech & Language 44, 61-83, 2017	127	2017
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	107	2022
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	98	2022
A Supervised Approach to Extractive Summarisation of Scientific Papers E Collins, I Augenstein, S Riedel ConLL 2017, 2017	94	2017
Zero-Shot Cross-Lingual Transfer with Meta Learning F Nooralahzadeh, G Bekoulis, J Bjerva, I Augenstein EMNLP 2020, 2020	86	2020
Natural Language Processing for the Semantic Web I Augenstein	84*	2014
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces I Augenstein, S Ruder, A Søgaard NAACL 2018, 2018	82	2018
A Survey on Stance Detection for Mis- and Disinformation Identification M Hardalov, A Arora, P Nakov, I Augenstein NAACL 2022, 2022	76	2022

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