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 @ Facebook AI ResearchVerified email at cs.ucl.ac.uk
Diana MaynardSenior Research Fellow, GATE team, NLP group, and CFOM, University of SheffieldVerified email at sheffield.ac.uk
Joachim BingelUniversity of CopenhagenVerified email at di.ku.dk
Fabio CiravegnaFull Professor at University of SheffieldVerified email at sheffield.ac.uk
Pepa AtanasovaPhD Student, University 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 DeepMind, Associate Professor at UCLVerified email at cs.ucl.ac.uk
Christina LiomaFull Professor 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
Dustin WrightUniversity of CopenhagenVerified email at di.ku.dk
Ziqi ZhangThe University of SheffieldVerified email at sheffield.ac.uk
Anna Lisa GentileIBM Research, Almaden CAVerified email at ibm.com
Andreas VlachosAssociate Professor, University of CambridgeVerified email at cam.ac.uk
Momchil HardalovSofia University “St. Kliment Ohridski”Verified email at fmi.uni-sofia.bg
Preslav NakovMBZUAIVerified email at mbzuai.ac.ae
Nils RethmeierResearcher at DFKI (German Research Center for AI), PhD candidate at University of CopenhagenVerified email at dfki.de

Isabelle Augenstein

Associate 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	314	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	289	2017
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP Workshop at EMNLP 2016, 2016	277	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	212	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	174	2019
Learning what to share between loosely related tasks S Ruder, J Bingel, I Augenstein, A Søgaard arXiv preprint arXiv:1705.08142, 2017	168	2017
LODifier: generating linked data from unstructured text I Augenstein, S Padó, S Rudolph The Semantic Web: Research and Applications, 210-224, 2012	139	2012
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	112	2019
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	111	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	107	2017
Generalisation in named entity recognition: A quantitative analysis I Augenstein, L Derczynski, K Bontcheva Computer Speech & Language 44, 61-83, 2017	105	2017
Generating Fact Checking Explanations P Atanasova, JG Simonsen, C Lioma, I Augenstein ACL 2020, 2020	77	2020
A Diagnostic Study of Explainability Techniques for Text Classification P Atanasova, JG Simonsen, C Lioma, I Augenstein EMNLP 2020, 2020	72	2020
A Supervised Approach to Extractive Summarisation of Scientific Papers E Collins, I Augenstein, S Riedel ConLL 2017, 2017	72	2017
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces I Augenstein, S Ruder, A Søgaard NAACL 2018, 2018	70	2018
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	65	2016
Multi-Task Learning of Keyphrase Boundary Classification I Augenstein, A Søgaard ACL 2017, 2017	61	2017
Zero-Shot Cross-Lingual Transfer with Meta Learning F Nooralahzadeh, G Bekoulis, J Bjerva, I Augenstein EMNLP 2020, 2020	56	2020
USFD at SemEval-2016 Task 6: Any-Target Stance Detection on Twitter with Autoencoders. I Augenstein, A Vlachos, K Bontcheva SemEval@ NAACL-HLT, 389-393, 2016	55	2016
Distantly Supervised Web Relation Extraction for Knowledge Base Population I Augenstein, D Maynard, F Ciravegna Semantic Web Journal, 2015	47	2015

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