Miguel Ballesteros

Cited by

	All	Since 2019
Citations	11928	8875
h-index	36	32
i10-index	68	55

1800

900

450

1350

20132014201520162017201820192020202120222023202441 68 120 508 850 1362 1746 1721 1640 1477 1402 886

Public access

View all

23 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Chris DyerDeepMind, Carnegie MellonVerified email at google.com
Guillaume LampleMistral AIVerified email at mistral.ai
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Graham NeubigCarnegie Mellon University, All Hands AIVerified email at cs.cmu.edu
Adhiguna KuncoroOxford University and Google DeepMindVerified email at google.com
Joakim NivreProfessor of Computational Linguistics, Uppsala University; Senior Researcher, RISEVerified email at lingfil.uu.se
Jie MaApplied Scientist, AmazonVerified email at amazon.com
Leo WannerICREA Research Professor, Pompeu Fabra UniversityVerified email at upf.edu
Austin MatthewsCarnegie Mellon UniversityVerified email at cmu.edu
Pablo GervásCatedrático de UniversidadVerified email at ucm.es
Yoav GoldbergProfessor, Bar Ilan University. Research Director, AI2-IsraelVerified email at cs.biu.ac.il
Shuai WangSenior Applied Scientist, AmazonVerified email at amazon.com
Waleed AmmarGoogleVerified email at google.com
Virginia FranciscoAssistant Professor of Computer Science, University Complutense of MadridVerified email at fdi.ucm.es
Rishita AnubhaiPrincipal Applied Scientist, AmazonVerified email at amazon.com
Simon MilleADAPT Research Centre, Dublin City UniversityVerified email at adaptcentre.ie
Horacio SaggionChair in Computer Science & Artificial Intelligence, Universitat Pompeu Fabra, DTICVerified email at upf.edu
Bernd BohnetResearch Scientist, Google Deep MindVerified email at google.com
Dan RothProfessor of Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
Lingpeng KongGoogle DeepMind, The University of Hong KongVerified email at cs.hku.hk

Miguel Ballesteros

Principal Applied Scientist, Amazon

Verified email at amazon.com - Homepage

Natural Language Processing Deep Learning Computational Linguistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Neural Architectures for Named Entity Recognition G Lample, M Ballesteros, S Subramanian, K Kawakami, C Dyer Proceedings of NAACL 2016, 2016	5429	2016
Transition-Based Dependency Parsing with Stack Long Short-Term Memory C Dyer, M Ballesteros, W Ling, A Matthews, NA Smith Proceedings of ACL 2015, 2015	1053	2015
Recurrent Neural Network Grammars C Dyer, A Kuncoro, M Ballesteros, N Smith Proceedings of NAACL 2016, 2016	757*	2016
Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017	459*	2017
Improved Transition-Based Parsing by Modeling Characters instead of Words with LSTMs M Ballesteros, C Dyer, NA Smith Proceedings of EMNLP 2015, 2015	350	2015
Many languages, one parser W Ammar, G Mulcaire, M Ballesteros, C Dyer, NA Smith Transactions of the Association for Computational Linguistics (TACL), 2016	286	2016
Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State R Futrell, E Wilcox, T Morita, P Qian, M Ballesteros, R Levy Proceedings of NAACL 2019, 2019	220	2019
Detecting readers with dyslexia using machine learning with eye tracking measures L Rello, M Ballesteros Proceedings of the 12th international web for all conference, 1-8, 2015	218	2015
What Do Recurrent Neural Network Grammars Learn About Syntax? A Kuncoro, M Ballesteros, L Kong, C Dyer, G Neubig, NA Smith Proceedings EACL 2017, 2017	173	2017
Are Emojis Predictable? F Barbieri, M Ballesteros, H Saggion Proceedings of Short Papers EACL 2017, 2017	168	2017
Semeval 2018 task 2: Multilingual emoji prediction F Barbieri, J Camacho-Collados, F Ronzano, LE Anke, M Ballesteros, ... Proceedings of the 12th international workshop on semantic evaluation, 24-33, 2018	162	2018
Universal Dependencies 1.2 J Nivre, Ž Agić, MJ Aranzabe, M Asahara, A Atutxa, M Ballesteros, J Bauer, ... Universal Dependencies Consortium, 2015	159	2015
Universal dependencies 2.5 D Zeman, J Nivre, M Abrams, E Ackermann, N Aepli, H Aghaei, R Ziane LINDAT/CLARIAHCZ digital library at the Institute of Formal and Applied …, 2020	154*	2020
Universal dependencies 2.0 J Nivre, Ž Agić, L Ahrenberg, MJ Aranzabe, M Asahara, A Atutxa, ... Universal Dependencies Consortium, 2017	112*	2017
Universal Dependencies 2.1 J Nivre, Ž Agić, L Ahrenberg, L Antonsen, MJ Aranzabe, M Asahara, ... Universal Dependencies Consortium, 2017	93*	2017
Multilingual Neural Machine Translation with Task-Specific Attention G Blackwood, M Ballesteros, T Ward Proceedings of COLING 2018, 2018	92	2018
Training with Exploration Improves a Greedy Stack-LSTM Parser M Ballesteros, Y Goldberg, C Dyer, NA Smith Proceedings of Short Papers EMNLP 2016, 2016	88	2016
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser A Kuncoro, M Ballesteros, L Kong, C Dyer, NA Smith Proceedings of EMNLP 2016, 2016	87	2016
MaltOptimizer: an optimization tool for MaltParser M Ballesteros, J Nivre Proceedings of the Demonstrations at EACL 2012, 2012	86	2012
Scheduled Multi-Task Learning: From Syntax to Translation E Kiperwasser, M Ballesteros Transactions of the Association for Computational Linguistics, 2018 …, 2018	85	2018

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors