Isabelle Augenstein

Получаване на мой собствен потребителски профил

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	Всички	От 2017
Позовавания	3264	3039
h-индекс	28	25
i10-индекс	56	52

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Съавтори

Anders SøgaardFull Professor in NLP and Machine Learning, University of CopenhagenПотвърден имейл адрес: di.ku.dk
Johannes BjervaAssociate Professor, Department of Computer Science, Aalborg UniversityПотвърден имейл адрес: cs.aau.dk
Kalina BontchevaProfessor of Text Analytics, University of SheffieldПотвърден имейл адрес: sheffield.ac.uk
Sebastian RiedelProfessor @ University College London, Researcher @ Facebook AI ResearchПотвърден имейл адрес: cs.ucl.ac.uk
Fabio CiravegnaFull Professor at University of SheffieldПотвърден имейл адрес: shef.ac.uk
Joachim BingelUniversity of CopenhagenПотвърден имейл адрес: di.ku.dk
Pepa AtanasovaPhD Student, University of CopenhagenПотвърден имейл адрес: di.ku.dk
Sebastian RuderResearch Scientist, GoogleПотвърден имейл адрес: google.com
Ziqi ZhangThe University of SheffieldПотвърден имейл адрес: sheffield.ac.uk
Anna Lisa GentileIBM Research, Almaden CAПотвърден имейл адрес: ibm.com
Tim RocktäschelResearcher at DeepMind, Associate Professor at UCLПотвърден имейл адрес: cs.ucl.ac.uk
Christina LiomaFull Professor in Computer Science, University of CopenhagenПотвърден имейл адрес: di.ku.dk
Jakob Grue SimonsenDepartment of Computer Science, University of Copenhagen (DIKU)Потвърден имейл адрес: diku.dk
Ryan CotterellETH ZürichПотвърден имейл адрес: inf.ethz.ch
Dustin WrightUniversity of CopenhagenПотвърден имейл адрес: di.ku.dk
Andreas VlachosAssociate Professor, University of CambridgeПотвърден имейл адрес: cam.ac.uk
Diana MaynardSenior Research Fellow, GATE team, NLP group, and CFOM, University of SheffieldПотвърден имейл адрес: sheffield.ac.uk
Momchil HardalovCheckstep Research, Sofia University “St. Kliment Ohridski”Потвърден имейл адрес: fmi.uni-sofia.bg
Preslav NakovPrincipal Scientist, Qatar Computing Research Institute (QCRI), HBKUПотвърден имейл адрес: hbku.edu.qa
Matko BošnjakDeepMindПотвърден имейл адрес: deepmind.com

Следене

Isabelle Augenstein

Associate Professor, Department of Computer Science, University of Copenhagen

Потвърден имейл адрес: di.ku.dk - Начална страница

Natural Language Processing Machine Learning


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Stance Detection with Bidirectional Conditional Encoding I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva EMNLP 2016, 2016	294	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	259	2017
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP Workshop at EMNLP 2016, 2016	244	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	196	2017
Learning what to share between loosely related tasks S Ruder, J Bingel, I Augenstein, A Søgaard arXiv preprint arXiv:1705.08142, 2017	162	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	151	2019
LODifier: generating linked data from unstructured text I Augenstein, S Padó, S Rudolph The Semantic Web: Research and Applications, 210-224, 2012	138	2012
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	100	2018
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	96	2019
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	96	2017
Generalisation in named entity recognition: A quantitative analysis I Augenstein, L Derczynski, K Bontcheva Computer Speech & Language 44, 61-83, 2017	92	2017
A Supervised Approach to Extractive Summarisation of Scientific Papers E Collins, I Augenstein, S Riedel ConLL 2017, 2017	67	2017
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces I Augenstein, S Ruder, A Søgaard NAACL 2018, 2018	66	2018
Generating Fact Checking Explanations P Atanasova, JG Simonsen, C Lioma, I Augenstein ACL 2020, 2020	64	2020
A Diagnostic Study of Explainability Techniques for Text Classification P Atanasova, JG Simonsen, C Lioma, I Augenstein EMNLP 2020, 2020	63	2020
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	63	2016
Multi-Task Learning of Keyphrase Boundary Classification I Augenstein, A Søgaard ACL 2017, 2017	60	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	53	2016
Zero-Shot Cross-Lingual Transfer with Meta Learning F Nooralahzadeh, G Bekoulis, J Bjerva, I Augenstein EMNLP 2020, 2020	46	2020
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	46	2013

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