Isabelle Augenstein

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Anders SøgaardFull Professor in NLP and Machine Learning, University of CopenhagenEmail verificata su di.ku.dk
Johannes BjervaAssociate Professor, Department of Computer Science, Aalborg UniversityEmail verificata su cs.aau.dk
Kalina BontchevaProfessor of Text Analytics, University of SheffieldEmail verificata su sheffield.ac.uk
Sebastian RiedelProfessor @ University College London, Researcher @ Facebook AI ResearchEmail verificata su cs.ucl.ac.uk
Fabio CiravegnaFull Professor at University of SheffieldEmail verificata su shef.ac.uk
Joachim BingelUniversity of CopenhagenEmail verificata su di.ku.dk
Ziqi ZhangThe University of SheffieldEmail verificata su sheffield.ac.uk
Anna Lisa GentileIBM Research, Almaden CAEmail verificata su ibm.com
Sebastian RuderResearch scientist, DeepMindEmail verificata su google.com
Tim RocktäschelAssociate Professor at University College London, Research Scientist at Facebook AI ResearchEmail verificata su cs.ucl.ac.uk
Andreas VlachosSenior Lecturer, University of CambridgeEmail verificata su cam.ac.uk
Diana MaynardSenior Research Fellow, GATE team, NLP group, and CFOM, University of SheffieldEmail verificata su sheffield.ac.uk
Ryan CotterellETH Zürich, University of CambridgeEmail verificata su inf.ethz.ch
Pepa AtanasovaPhD Student, University of CopenhagenEmail verificata su di.ku.dk
Dustin WrightUniversity of CopenhagenEmail verificata su di.ku.dk
Matko BošnjakDeepMindEmail verificata su deepmind.com
Christina LiomaFull Professor in Computer Science, Head of Machine Learning Section, University of CopenhagenEmail verificata su di.ku.dk
Jakob Grue SimonsenDepartment of Computer Science, University of Copenhagen (DIKU)Email verificata su diku.dk
Eva BlomqvistAssociate Professor (Bitr. professor), Linköping UniversityEmail verificata su liu.se
Georgios SpithourakisMachine Learning Scientist, PolyAIEmail verificata su poly-ai.com

Isabelle Augenstein

Associate Professor, Department of Computer Science, University of Copenhagen

Email verificata su di.ku.dk - Home page

Natural Language Processing Machine Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Stance Detection with Bidirectional Conditional Encoding I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva EMNLP 2016, 2016	219	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	197	2017
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP Workshop at EMNLP 2016, 2016	192	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	151	2017
Learning what to share between loosely related tasks S Ruder, J Bingel, I Augenstein, A Søgaard arXiv preprint arXiv:1705.08142, 2017	134	2017
LODifier: generating linked data from unstructured text I Augenstein, S Padó, S Rudolph The Semantic Web: Research and Applications, 210-224, 2012	127	2012
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	86	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	75	2018
Generalisation in named entity recognition: A quantitative analysis I Augenstein, L Derczynski, K Bontcheva Computer Speech & Language 44, 61-83, 2017	72	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	70	2017
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces I Augenstein, S Ruder, A Søgaard NAACL 2018, 2018	55	2018
A Supervised Approach to Extractive Summarisation of Scientific Papers E Collins, I Augenstein, S Riedel ConLL 2017, 2017	51	2017
Multi-Task Learning of Keyphrase Boundary Classification I Augenstein, A Søgaard ACL 2017, 2017	51	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	51	2016
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	49	2019
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	45	2016
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	44	2013
Distantly Supervised Web Relation Extraction for Knowledge Base Population I Augenstein, D Maynard, F Ciravegna Semantic Web Journal, 2015	37	2015
Generating Fact Checking Explanations P Atanasova, JG Simonsen, C Lioma, I Augenstein ACL 2020, 2020	34	2020
Relation Extraction from the Web Using Distant Supervision I Augenstein, D Maynard, F Ciravegna Knowledge Engineering and Knowledge Management, 26-41, 2014	33	2014

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