Isabelle Augenstein

Cited by

	All	Since 2018
Citations	4151	3725
h-index	31	29
i10-index	69	63

1200

600

300

900

2013201420152016201720182019202020212022202318 41 55 89 192 340 476 671 955 1186 87

Public access

View all

22 articles

1 article

available

not available

Based on funding mandates

Co-authors

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
Diana MaynardSenior Research Fellow, GATE team, NLP group, and CFOM, University of SheffieldVerified email at sheffield.ac.uk
Dustin WrightUniversity of CopenhagenVerified email at di.ku.dk
Pepa AtanasovaPostdoc, University of CopenhagenVerified email at di.ku.dk
Fabio CiravegnaFull Professor at University of SheffieldVerified email at sheffield.ac.uk
Joachim BingelUniversity of CopenhagenVerified email at di.ku.dk
Ryan CotterellETH ZürichVerified email at inf.ethz.ch
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
Sebastian RuderResearch Scientist, GoogleVerified email at google.com
Tim RocktäschelResearch Scientist at 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
Andreas VlachosProfessor, University of CambridgeVerified email at cam.ac.uk
Momchil HardalovAmazon AWS AI LabsVerified email at amazon.com
Preslav NakovMBZUAIVerified email at mbzuai.ac.ae
Arnav AroraUniversity of CopenhagenVerified email at di.ku.dk

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	347	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	318	2017
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP Workshop at EMNLP 2016, 2016	287	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	233	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	204	2019
Learning what to share between loosely related tasks S Ruder, J Bingel, I Augenstein, A Søgaard arXiv preprint arXiv:1705.08142, 2017	180	2017
LODifier: generating linked data from unstructured text I Augenstein, S Padó, S Rudolph The Semantic Web: Research and Applications, 210-224, 2012	140	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	135	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	130	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	124	2017
Generalisation in named entity recognition: A quantitative analysis I Augenstein, L Derczynski, K Bontcheva Computer Speech & Language 44, 61-83, 2017	107	2017
A Diagnostic Study of Explainability Techniques for Text Classification P Atanasova, JG Simonsen, C Lioma, I Augenstein EMNLP 2020, 2020	98	2020
Generating Fact Checking Explanations P Atanasova, JG Simonsen, C Lioma, I Augenstein ACL 2020, 2020	97	2020
A Supervised Approach to Extractive Summarisation of Scientific Papers E Collins, I Augenstein, S Riedel ConLL 2017, 2017	78	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	74	2016
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces I Augenstein, S Ruder, A Søgaard NAACL 2018, 2018	73	2018
Zero-Shot Cross-Lingual Transfer with Meta Learning F Nooralahzadeh, G Bekoulis, J Bjerva, I Augenstein EMNLP 2020, 2020	65	2020
Multi-Task Learning of Keyphrase Boundary Classification I Augenstein, A Søgaard ACL 2017, 2017	63	2017
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	59	2016
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	47	2022

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors