Isabelle Augenstein 个人学术档案

引用次数

	总计	2019 年至今
引用	6550	5770
h 指数	41	39
i10 指数	91	83

1500

750

375

1125

20132014201520162017201820192020202120222023202417 41 54 85 195 351 487 676 966 1208 1454 957

开放获取的出版物数量

查看全部

28 篇文章

1 篇文章

可查看的文章

无法查看的文章

根据资助方的强制性开放获取政策

合著作者

Kalina BontchevaProfessor of Text Analytics, University of Sheffield在 sheffield.ac.uk 的电子邮件经过验证
Johannes BjervaAssociate Professor, Department of Computer Science, Aalborg University在 cs.aau.dk 的电子邮件经过验证
Anders SøgaardFull Professor in NLP and Machine Learning, University of Copenhagen在 di.ku.dk 的电子邮件经过验证
Pepa AtanasovaPostdoc, University of Copenhagen在 di.ku.dk 的电子邮件经过验证
Arnav AroraUniversity of Copenhagen在 di.ku.dk 的电子邮件经过验证
Sebastian RiedelHonorary Professor @ University College London, Researcher @ DeepMind在 cs.ucl.ac.uk 的电子邮件经过验证
Dustin WrightUniversity of Copenhagen在 di.ku.dk 的电子邮件经过验证
Preslav NakovMBZUAI在 mbzuai.ac.ae 的电子邮件经过验证
Ryan CotterellETH Zürich在 inf.ethz.ch 的电子邮件经过验证
Diana MaynardSenior Research Fellow, GATE team, NLP group, and CFOM, University of Sheffield在 sheffield.ac.uk 的电子邮件经过验证
Karolina StańczakMila and McGill University在 mila.quebec 的电子邮件经过验证
Joachim BingelUniversity of Copenhagen在 di.ku.dk 的电子邮件经过验证
Andreas VlachosProfessor, University of Cambridge在 cam.ac.uk 的电子邮件经过验证
Fabio CiravegnaDipartimento di Informatica, Università di Torino在 unito.it 的电子邮件经过验证
Momchil HardalovAmazon, AWS Bedrock在 amazon.com 的电子邮件经过验证
Sebastian RuderResearch Scientist, Cohere在 cohere.com 的电子邮件经过验证
Tim RocktäschelProfessor of Artificial Intelligence at UCL, Open-Endedness Team Lead at Google DeepMind在 cs.ucl.ac.uk 的电子邮件经过验证
Christina LiomaProfessor in Computer Science, University of Copenhagen在 di.ku.dk 的电子邮件经过验证
Ziqi ZhangAccessible Intelligence, The University of Sheffield在 accessibleintelligence.io 的电子邮件经过验证
Anna Lisa GentileIBM Research, Almaden CA在 ibm.com 的电子邮件经过验证

关注

Isabelle Augenstein

Full Professor, Department of Computer Science, University of Copenhagen

在 di.ku.dk 的电子邮件经过验证 - 首页

Natural Language Processing Machine Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Stance Detection with Bidirectional Conditional Encoding I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva EMNLP 2016, 2016	461	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	419	2017
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP Workshop at EMNLP 2016, 2016	359	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	327	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	287	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	233	2019
Learning what to share between loosely related tasks S Ruder, J Bingel, I Augenstein, A Søgaard arXiv preprint arXiv:1705.08142, 2017	206	2017
A Diagnostic Study of Explainability Techniques for Text Classification P Atanasova, JG Simonsen, C Lioma, I Augenstein EMNLP 2020, 2020	198*	2020
Generating Fact Checking Explanations P Atanasova, JG Simonsen, C Lioma, I Augenstein ACL 2020, 2020	183*	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	172	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	166	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	158	2018
LODifier: generating linked data from unstructured text I Augenstein, S Padó, S Rudolph The Semantic Web: Research and Applications, 210-224, 2012	156	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	154	2017
Generalisation in named entity recognition: A quantitative analysis I Augenstein, L Derczynski, K Bontcheva Computer Speech & Language 44, 61-83, 2017	144	2017
A Survey on Stance Detection for Mis- and Disinformation Identification M Hardalov, A Arora, P Nakov, I Augenstein NAACL 2022, 2022	118	2022
A Supervised Approach to Extractive Summarisation of Scientific Papers E Collins, I Augenstein, S Riedel ConLL 2017, 2017	118	2017
Zero-Shot Cross-Lingual Transfer with Meta Learning F Nooralahzadeh, G Bekoulis, J Bjerva, I Augenstein EMNLP 2020, 2020	111	2020
Natural Language Processing for the Semantic Web I Augenstein	94*	2014
A Survey on Gender Bias in Natural Language Processing K Stanczak, I Augenstein arXiv preprint arXiv:2112.14168, 2021	93	2021

系统目前无法执行此操作，请稍后再试。

文章 1–20

每年引用数

重复的引用

合并的引用

添加合著者合著作者

上传 PDF

关注此作者

引用次数

合著作者

引用