Követés
Isabelle Augenstein
Isabelle Augenstein
Associate Professor, Department of Computer Science, University of Copenhagen
E-mail megerősítve itt: di.ku.dk - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Stance Detection with Bidirectional Conditional Encoding
I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva
EMNLP 2016, 2016
3142016
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
2902017
emoji2vec: Learning Emoji Representations from their Description
B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel
SocialNLP Workshop at EMNLP 2016, 2016
2772016
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
2122017
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
1742019
Learning what to share between loosely related tasks
S Ruder, J Bingel, I Augenstein, A Søgaard
arXiv preprint arXiv:1705.08142, 2017
1692017
LODifier: generating linked data from unstructured text
I Augenstein, S Padó, S Rudolph
The Semantic Web: Research and Applications, 210-224, 2012
1392012
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
1122019
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
1112018
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
1072017
Generalisation in named entity recognition: A quantitative analysis
I Augenstein, L Derczynski, K Bontcheva
Computer Speech & Language 44, 61-83, 2017
1052017
Generating Fact Checking Explanations
P Atanasova, JG Simonsen, C Lioma, I Augenstein
ACL 2020, 2020
782020
A Diagnostic Study of Explainability Techniques for Text Classification
P Atanasova, JG Simonsen, C Lioma, I Augenstein
EMNLP 2020, 2020
722020
A Supervised Approach to Extractive Summarisation of Scientific Papers
E Collins, I Augenstein, S Riedel
ConLL 2017, 2017
722017
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
I Augenstein, S Ruder, A Søgaard
NAACL 2018, 2018
702018
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
652016
Multi-Task Learning of Keyphrase Boundary Classification
I Augenstein, A Søgaard
ACL 2017, 2017
612017
Zero-Shot Cross-Lingual Transfer with Meta Learning
F Nooralahzadeh, G Bekoulis, J Bjerva, I Augenstein
EMNLP 2020, 2020
562020
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
552016
Distantly Supervised Web Relation Extraction for Knowledge Base Population
I Augenstein, D Maynard, F Ciravegna
Semantic Web Journal, 2015
472015
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