Isabelle Augenstein

Cited by

	All	Since 2015
Citations	1761	1695
h-index	21	21
i10-index	35	33

560

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2012201320142015201620172018201920205 18 40 57 88 186 330 478 549

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
Joachim BingelUniversity 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
Sebastian RuderResearch scientist, DeepMindVerified email at google.com
Tim RocktäschelResearch Scientist at Facebook AI Research, Lecturer at University College LondonVerified email at cs.ucl.ac.uk
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
Eva BlomqvistAssociate Professor (Bitr. professor), Linköping UniversityVerified email at liu.se
Matko BošnjakPhD candidate, University College LondonVerified email at ucl.ac.uk
Georgios SpithourakisMachine Learning Scientist, PolyAIVerified email at poly-ai.com
Ryan CotterellETH Zürich, University of CambridgeVerified email at inf.ethz.ch
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
Leon DerczynskiITU CopenhagenVerified email at itu.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	185	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	163	2017
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP Workshop at EMNLP 2016, 2016	154	2016
LODifier: generating linked data from unstructured text I Augenstein, S Padó, S Rudolph The Semantic Web: Research and Applications, 210-224, 2012	115	2012
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	114	2017
Learning what to share between loosely related tasks S Ruder, J Bingel, I Augenstein, A Søgaard arXiv preprint arXiv:1705.08142, 2017	109	2017
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	61	2017
Latent Multi-task Architecture Learning S Ruder, J Bingel, I Augenstein, A Søgaard AAAI 2019, 2019	59*	2019
Generalisation in named entity recognition: A quantitative analysis I Augenstein, L Derczynski, K Bontcheva Computer Speech & Language 44, 61-83, 2017	57	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	50	2018
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	43	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	41	2013
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	39	2016
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	38	2016
Distantly Supervised Web Relation Extraction for Knowledge Base Population I Augenstein, D Maynard, F Ciravegna Semantic Web Journal, 2015	35	2015
A Supervised Approach to Extractive Summarisation of Scientific Papers E Collins, I Augenstein, S Riedel ConLL 2017, 2017	33	2017
Relation Extraction from the Web Using Distant Supervision I Augenstein, D Maynard, F Ciravegna Knowledge Engineering and Knowledge Management, 26-41, 2014	31	2014
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
Statistical Knowledge Patterns: Identifying Synonymous Relations in Large Linked Datasets Z Zhang, AL Gentile, E Blomqvist, I Augenstein, F Ciravegna The Semantic Web–ISWC 2013, 703-719, 2013	23	2013

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