Miguel Ballesteros

Cited by

	All	Since 2016
Citations	6214	5923
h-index	25	23
i10-index	43	38

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201220132014201520162017201820192020202127 41 65 116 505 863 1308 1673 1517 18

Co-authors

Chris DyerDeepMind, Carnegie MellonVerified email at google.com
Guillaume LampleResearch Scientist, Facebook AI ResearchVerified email at fb.com
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Sandeep SubramanianMila, University of MontrealVerified email at umontreal.ca
Adhiguna KuncoroOxford University and Google DeepMindVerified email at google.com
Graham NeubigAssociate Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Kawakami KazuyaUniversity of Oxford, Department of Computer ScienceVerified email at cs.ox.ac.uk
Joakim NivreProfessor of Computational Linguistics, Uppsala UniversityVerified email at lingfil.uu.se
Austin MatthewsCarnegie Mellon UniversityVerified email at cmu.edu
Pablo GervásCatedrático de UniversidadVerified email at ucm.es
Yoav GoldbergProfessor, Bar Ilan UniversityVerified email at cs.biu.ac.il
Waleed AmmarGoogleVerified email at allenai.org
Leo WannerICREA Research Professor, Pompeu Fabra UniversityVerified email at upf.edu
Virginia FranciscoAssistant Professor of Computer Science, University Complutense of MadridVerified email at fdi.ucm.es
Bernd BohnetResearch Scientist, GoogleVerified email at google.com
SIMON MILLEUniversitat Pompeu FabraVerified email at upf.edu
Francesco BarbieriResearch Scientist @ Snap Inc.Verified email at snapchat.com
Lingpeng KongGoogle DeepMindVerified email at google.com
Horacio SaggionProfesor Agregado, Head of the Large Scale Text Understanding Systems Lab, TALN, UPFVerified email at upf.edu
Alberto DíazProfesor Titular de UniversidadVerified email at fdi.ucm.es

Miguel Ballesteros

Senior Applied Scientist, Amazon

Verified email at amazon.com - Homepage

Natural Language Processing Deep Learning Computational Linguistics all_pubs_hand_verified_to_be_actually_mine


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	2574	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	784	2015
Recurrent Neural Network Grammars C Dyer, A Kuncoro, M Ballesteros, NA Smith Proceedings of NAACL 2016, 2016	418	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	355*	2017
Improved Transition-Based Parsing by Modeling Characters instead of Words with LSTMs M Ballesteros, C Dyer, NA Smith Proceedings of EMNLP 2015, 2015	290	2015
Universal Dependencies 2.1 J Nivre, Ž Agić, L Ahrenberg, L Antonsen, MJ Aranzabe, M Asahara, ...	242	2017
Many languages, one parser W Ammar, G Mulcaire, M Ballesteros, C Dyer, NA Smith Transactions of the Association for Computational Linguistics (TACL), 2016	182*	2016
Universal Dependencies 1.2 J Nivre, Ž Agić, MJ Aranzabe, M Asahara, A Atutxa, M Ballesteros, J Bauer, ... Universal Dependencies Consortium, 2015	119*	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	108	2017
Are Emojis Predictable? F Barbieri, M Ballesteros, H Saggion Proceedings of Short Papers EACL 2017, 2017	97	2017
MaltOptimizer: an optimization tool for MaltParser M Ballesteros, J Nivre Proceedings of the Demonstrations at EACL 2012, 2012	80	2012
MaltOptimizer: A System for MaltParser Optimization. M Ballesteros, J Nivre Proceedings of LREC 2012, 2012	71	2012
Detecting readers with dyslexia using machine learning with eye tracking measures L Rello, M Ballesteros Proceedings of the 12th Web for All Conference, 1-8, 2015	68	2015
Training with Exploration Improves a Greedy Stack-LSTM Parser M Ballesteros, Y Goldberg, C Dyer, NA Smith Proceedings of Short Papers EMNLP 2016, 2016	67	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	64	2016
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	60	2018
Scheduled Multi-Task Learning: From Syntax to Translation E Kiperwasser, M Ballesteros Transactions of the Association for Computational Linguistics, 2018 …, 2018	53	2018
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs S Swayamdipta, M Ballesteros, C Dyer, NA Smith Proceedings of CoNLL 2016, 2016	46	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	44	2019
Going to the roots of dependency parsing M Ballesteros, J Nivre Computational Linguistics 39 (1), 5-13, 2013	38	2013

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