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Christos Christodoulopoulos
Christos Christodoulopoulos
Senior Applied Scientist, Amazon Inc.
Подтвержден адрес электронной почты в домене amazon.co.uk - Главная страница
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Процитировано
Год
FEVER: a large-scale dataset for fact extraction and VERification
J Thorne, A Vlachos, C Christodoulopoulos, A Mittal
arXiv preprint arXiv:1803.05355, 2018
15172018
A massively parallel corpus: the Bible in 100 languages
C Christodouloupoulos, M Steedman
Language Resources and Evaluation 49 (2), 375-395, 2014
2752014
The fact extraction and VERification (FEVER) shared task
J Thorne, A Vlachos, O Cocarascu, C Christodoulopoulos, A Mittal
arXiv preprint arXiv:1811.10971, 2018
2322018
Two decades of unsupervised POS induction: How far have we come?
C Christodoulopoulos, S Goldwater, M Steedman
Proceedings of the 2010 Conference on Empirical Methods in Natural Language …, 2010
1812010
Feverous: Fact extraction and verification over unstructured and structured information
R Aly, Z Guo, M Schlichtkrull, J Thorne, A Vlachos, C Christodoulopoulos, ...
arXiv preprint arXiv:2106.05707, 2021
1422021
A group formation tool in an e-learning context
CE Christodoulopoulos, KA Papanikolaou
19th IEEE international conference on tools with artificial intelligence …, 2007
1222007
The FEVER2. 0 shared task
J Thorne, A Vlachos, O Cocarascu, C Christodoulopoulos, A Mittal
Proceedings of the second workshop on Fact Extraction and VERification …, 2019
1122019
Measuring social bias in knowledge graph embeddings
J Fisher, D Palfrey, C Christodoulopoulos, A Mittal
arXiv preprint arXiv:1912.02761, 2019
862019
Refined: An efficient zero-shot-capable approach to end-to-end entity linking
T Ayoola, S Tyagi, J Fisher, C Christodoulopoulos, A Pierleoni
arXiv preprint arXiv:2207.04108, 2022
682022
The fact extraction and VERification over unstructured and structured information (FEVEROUS) shared task
R Aly, Z Guo, MS Schlichtkrull, J Thorne, A Vlachos, ...
Proceedings of the Fourth Workshop on Fact Extraction and VERification …, 2021
632021
State-of-the-art generalisation research in NLP: a taxonomy and review
D Hupkes, M Giulianelli, V Dankers, M Artetxe, Y Elazar, T Pimentel, ...
arXiv preprint arXiv:2210.03050, 2022
562022
Generating token-level explanations for natural language inference
J Thorne, A Vlachos, C Christodoulopoulos, A Mittal
arXiv preprint arXiv:1904.10717, 2019
552019
A Bayesian Mixture Model for Part-of-Speech Induction Using Multiple Features
C Christodoulopoulos, S Goldwater, M Steedman
Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011
442011
Evaluating adversarial attacks against multiple fact verification systems
J Thorne, A Vlachos, C Christodoulopoulos, A Mittal
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
422019
A taxonomy and review of generalization research in NLP
D Hupkes, M Giulianelli, V Dankers, M Artetxe, Y Elazar, T Pimentel, ...
Nature Machine Intelligence 5 (10), 1161-1174, 2023
392023
Investigation of group formation using low complexity algorithms
CE Christodoulopoulos, K Papanikolaou
Proc. of PING Workshop, 57-60, 2007
372007
Edison: Feature extraction for nlp, simplified
M Sammons, C Christodoulopoulos, P Kordjamshidi, D Khashabi, ...
Proceedings of the Tenth International Conference on Language Resources and …, 2016
302016
Revisiting the evaluation for cross document event coreference
S Upadhyay, N Gupta, C Christodoulopoulos, D Roth
Proceedings of COLING 2016, the 26th International Conference on …, 2016
222016
Cogcompnlp: Your swiss army knife for nlp
D Khashabi, M Sammons, B Zhou, T Redman, C Christodoulopoulos, ...
Proceedings of the eleventh international conference on Language Resources …, 2018
212018
Subhro Roy
D Khashabi, M Sammons, B Zhou, T Redman, C Christodoulopoulos, ...
Stephen Mayhew, Zhili Feng, John Wieting, Xiaodong Yu, Yangqiu Song …, 2018
172018
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Статьи 1–20