Isabelle Augenstein

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Kalina BontchevaProfessor of Text Analytics, University of SheffieldDirección de correo verificada de sheffield.ac.uk
Johannes BjervaAssociate Professor, Department of Computer Science, Aalborg UniversityDirección de correo verificada de cs.aau.dk
Anders SøgaardFull Professor in NLP and Machine Learning, University of CopenhagenDirección de correo verificada de di.ku.dk
Pepa AtanasovaTenure-Track Assistant Professor, University of CopenhagenDirección de correo verificada de di.ku.dk
Arnav AroraUniversity of CopenhagenDirección de correo verificada de di.ku.dk
Sebastian RiedelHonorary Professor @ University College London, Researcher @ DeepMindDirección de correo verificada de cs.ucl.ac.uk
Preslav NakovMBZUAIDirección de correo verificada de mbzuai.ac.ae
Dustin WrightUniversity of CopenhagenDirección de correo verificada de di.ku.dk
Ryan CotterellETH ZürichDirección de correo verificada de inf.ethz.ch
Diana MaynardSenior Research Fellow, GATE team, NLP group, and CFOM, University of SheffieldDirección de correo verificada de sheffield.ac.uk
Karolina StańczakMila and McGill UniversityDirección de correo verificada de mila.quebec
Joachim BingelUniversity of CopenhagenDirección de correo verificada de di.ku.dk
Momchil HardalovAmazon, AWS BedrockDirección de correo verificada de amazon.com
Andreas VlachosProfessor, University of CambridgeDirección de correo verificada de cam.ac.uk
Fabio CiravegnaDipartimento di Informatica, Università di TorinoDirección de correo verificada de unito.it
Sebastian RuderResearch Scientist, CohereDirección de correo verificada de cohere.com
Christina LiomaProfessor in Computer Science, University of CopenhagenDirección de correo verificada de di.ku.dk
Tim RocktäschelProfessor of Artificial Intelligence at UCL, Open-Endedness Team Lead at Google DeepMindDirección de correo verificada de cs.ucl.ac.uk
Nils RethmeierResearcher at DFKI, PhD candidate at University of Copenhagen, ML lead at DB SystelDirección de correo verificada de dfki.de
Ziqi ZhangAccessible IntelligenceDirección de correo verificada de accessibleintelligence.io

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Isabelle Augenstein

Full Professor, Department of Computer Science, University of Copenhagen

Dirección de correo verificada de di.ku.dk - Página principal

Natural Language Processing Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Stance Detection with Bidirectional Conditional Encoding I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva EMNLP 2016, 2016	479	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	429	2017
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP Workshop at EMNLP 2016, 2016	373	2016
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	346	2019
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	295	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	251	2019
A Diagnostic Study of Explainability Techniques for Text Classification P Atanasova, JG Simonsen, C Lioma, I Augenstein EMNLP 2020, 2020	215*	2020
Learning what to share between loosely related tasks S Ruder, J Bingel, I Augenstein, A Søgaard arXiv preprint arXiv:1705.08142, 2017	213	2017
Generating Fact Checking Explanations P Atanasova, JG Simonsen, C Lioma, I Augenstein ACL 2020, 2020	193*	2020
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	185	2022
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	174	2022
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	161	2018
LODifier: generating linked data from unstructured text I Augenstein, S Padó, S Rudolph The Semantic Web: Research and Applications, 210-224, 2012	159	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	156	2017
Generalisation in named entity recognition: A quantitative analysis I Augenstein, L Derczynski, K Bontcheva Computer Speech & Language 44, 61-83, 2017	148	2017
A Survey on Stance Detection for Mis- and Disinformation Identification M Hardalov, A Arora, P Nakov, I Augenstein NAACL 2022, 2022	125	2022
A Supervised Approach to Extractive Summarisation of Scientific Papers E Collins, I Augenstein, S Riedel ConLL 2017, 2017	120	2017
Zero-Shot Cross-Lingual Transfer with Meta Learning F Nooralahzadeh, G Bekoulis, J Bjerva, I Augenstein EMNLP 2020, 2020	119	2020
A Survey on Gender Bias in Natural Language Processing K Stanczak, I Augenstein arXiv preprint arXiv:2112.14168, 2021	105	2021
Probing Pre-Trained Language Models for Cross-Cultural Differences in Values A Arora, LA Kaffee, I Augenstein C3NLP @ EACL 2023, 2023	95	2023

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