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 RiedelProfessor @ 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
Fabio CiravegnaDipartimento di Informatica, Università di TorinoVerified email at unito.it
Andreas VlachosProfessor, University of CambridgeVerified email at cam.ac.uk
Joachim BingelUniversity of CopenhagenVerified email at di.ku.dk
Ryan CotterellETH ZürichVerified email at inf.ethz.ch
Sebastian RuderResearch Scientist, GoogleVerified email at google.com
Tim RocktäschelResearch Scientist at Google DeepMind, Associate Professor at UCLVerified email at cs.ucl.ac.uk
Ziqi ZhangThe University of SheffieldVerified email at sheffield.ac.uk
Anna Lisa GentileIBM Research, Almaden CAVerified email at ibm.com
Arnav AroraUniversity of CopenhagenVerified email at di.ku.dk
Momchil HardalovAWS AI LabsVerified email at amazon.com
Preslav NakovMBZUAIVerified email at mbzuai.ac.ae

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	377	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	339	2017
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP Workshop at EMNLP 2016, 2016	301	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	253	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	229	2019
Learning what to share between loosely related tasks S Ruder, J Bingel, I Augenstein, A Søgaard arXiv preprint arXiv:1705.08142, 2017	188	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	156	2019
LODifier: generating linked data from unstructured text I Augenstein, S Padó, S Rudolph The Semantic Web: Research and Applications, 210-224, 2012	144	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	138	2018
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	133	2017
A Diagnostic Study of Explainability Techniques for Text Classification P Atanasova, JG Simonsen, C Lioma, I Augenstein EMNLP 2020, 2020	118	2020
Generalisation in named entity recognition: A quantitative analysis I Augenstein, L Derczynski, K Bontcheva Computer Speech & Language 44, 61-83, 2017	116	2017
Generating Fact Checking Explanations P Atanasova, JG Simonsen, C Lioma, I Augenstein ACL 2020, 2020	108	2020
A Supervised Approach to Extractive Summarisation of Scientific Papers E Collins, I Augenstein, S Riedel ConLL 2017, 2017	86	2017
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	80	2022
Natural Language Processing for the Semantic Web D Maynard, K Bontcheva, I Augenstein Synthesis Lectures on the Semantic Web: Theory and Technology 6 (2), 1-194, 2016	80	2016
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces I Augenstein, S Ruder, A Søgaard NAACL 2018, 2018	79	2018
Zero-Shot Cross-Lingual Transfer with Meta Learning F Nooralahzadeh, G Bekoulis, J Bjerva, I Augenstein EMNLP 2020, 2020	76	2020
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	69	2022
Multi-Task Learning of Keyphrase Boundary Classification I Augenstein, A Søgaard ACL 2017, 2017	65	2017

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