Isabelle Augenstein

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	All	Since 2016
Citations	1853	1724
h-index	22	21
i10-index	35	32

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20122013201420152016201720182019202020215 17 41 56 88 183 331 458 635 21

Co-authors

Anders SøgaardFull Professor in NLP and Machine Learning, University of CopenhagenVerified email at di.ku.dk
Johannes BjervaAssistant Professor (Tenure-track), Department of Computer Science, Aalborg UniversityVerified email at cs.aau.dk
Kalina BontchevaProfessor of Text Analytics, University of SheffieldVerified email at sheffield.ac.uk
Sebastian RiedelProfessor @ University College London, Researcher @ Facebook AI ResearchVerified email at cs.ucl.ac.uk
Fabio CiravegnaFull Professor at University of SheffieldVerified email at shef.ac.uk
Ziqi ZhangThe University of SheffieldVerified email at sheffield.ac.uk
Anna Lisa GentileIBM Research, Almaden CAVerified email at ibm.com
Joachim BingelUniversity of CopenhagenVerified email at di.ku.dk
Tim RocktäschelResearch Scientist at Facebook AI Research, Lecturer at University College LondonVerified email at cs.ucl.ac.uk
Sebastian RuderResearch scientist, DeepMindVerified email at google.com
Andreas VlachosSenior Lecturer, University of CambridgeVerified email at cam.ac.uk
Diana MaynardSenior Research Fellow, GATE team, NLP group, and CFOM, University of SheffieldVerified email at sheffield.ac.uk
Matko BošnjakPhD candidate, University College LondonVerified email at ucl.ac.uk
Eva BlomqvistAssociate Professor (Bitr. professor), Linköping UniversityVerified email at liu.se
Ryan CotterellETH Zürich, University of CambridgeVerified email at inf.ethz.ch
Georgios SpithourakisMachine Learning Scientist, PolyAIVerified email at poly-ai.com
Maria LiakataProfessor Queen Mary University of London/University of Warwick, Alan Turing Institute AI FellowVerified email at qmul.ac.uk
Elena KochkinaUniversity of WarwickVerified email at warwick.ac.uk
Pepa AtanasovaUniversity of CopenhagenVerified email at di.ku.dk
Christina LiomaFull Professor in Computer Science, Head of Machine Learning Section, University of CopenhagenVerified email at di.ku.dk

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	198	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	169	2017
Latent Multi-task Architecture Learning S Ruder, J Bingel, I Augenstein, A Søgaard AAAI 2019, 2019	168*	2019
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP Workshop at EMNLP 2016, 2016	162	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	127	2017
Learning what to share between loosely related tasks S Ruder, J Bingel, I Augenstein, A Søgaard arXiv preprint arXiv:1705.08142, 2017	118	2017
LODifier: generating linked data from unstructured text I Augenstein, S Padó, S Rudolph The Semantic Web: Research and Applications, 210-224, 2012	118	2012
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	64	2017
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	60	2018
Generalisation in named entity recognition: A quantitative analysis I Augenstein, L Derczynski, K Bontcheva Computer Speech & Language 44, 61-83, 2017	57	2017
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces I Augenstein, S Ruder, A Søgaard NAACL 2018, 2018	49	2018
Multi-Task Learning of Keyphrase Boundary Classification I Augenstein, A Søgaard ACL 2017, 2017	45	2017
Unsupervised Wrapper Induction using Linked Data AL Gentile, Z Zhang, I Augenstein, F Ciravegna Proceedings of the 7th International Conference on Knowledge Capture, 41-48, 2013	43	2013
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	40	2016
Distantly Supervised Web Relation Extraction for Knowledge Base Population I Augenstein, D Maynard, F Ciravegna Semantic Web Journal, 2015	37	2015
A Supervised Approach to Extractive Summarisation of Scientific Papers E Collins, I Augenstein, S Riedel ConLL 2017, 2017	36	2017
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	36	2016
Relation Extraction from the Web Using Distant Supervision I Augenstein, D Maynard, F Ciravegna Knowledge Engineering and Knowledge Management, 26-41, 2014	30	2014
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	24	2019
Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning I Augenstein, A Vlachos, D Maynard EMNLP 2015, 747–757, 2015	23	2015

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