Miguel Ballesteros - Google Scholar Citations

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	All	Since 2014
Citations	3756	3677
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Co-authors

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

Miguel Ballesteros

Senior Applied Scientist, Amazon

Verified email at amazon.com - Homepage

Computational Linguistics Natural Language Processing Machine Learning Artificial Intelligence


Title	Cited by	Year
Neural Architectures for Named Entity Recognition G Lample, M Ballesteros, S Subramanian, K Kawakami, C Dyer Proceedings of NAACL 2016, 2016	1450	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	546	2015
Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017	233*	2017
Recurrent Neural Network Grammars C Dyer, A Kuncoro, M Ballesteros, NA Smith Proceedings of NAACL 2016, 2016	230	2016
Improved Transition-Based Parsing by Modeling Characters instead of Words with LSTMs M Ballesteros, C Dyer, NA Smith Proceedings of EMNLP 2015, 2015	216	2015
Many languages, one parser W Ammar, G Mulcaire, M Ballesteros, C Dyer, NA Smith Transactions of the Association for Computational Linguistics (TACL), 2016	126	2016
Universal Dependencies 2.2 J Nivre, M Abrams, Ž Agić, L Ahrenberg, L Antonsen, MJ Aranzabe, ...	105	2018
Universal Dependencies 1.2 J Nivre, Ž Agić, MJ Aranzabe, M Asahara, A Atutxa, M Ballesteros, J Bauer, ... Universal Dependencies Consortium, 2015	91*	2015
MaltOptimizer: an optimization tool for MaltParser M Ballesteros, J Nivre Proceedings of the Demonstrations at EACL 2012, 2012	70	2012
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	66*	2017
Universal Dependencies 2.1 J Nivre, Ž Agić, L Ahrenberg, L Antonsen, MJ Aranzabe, M Asahara, ...	64	2017
MaltOptimizer: A System for MaltParser Optimization. M Ballesteros, J Nivre Proceedings of LREC 2012, 2012	63	2012
Are Emojis Predictable? F Barbieri, M Ballesteros, H Saggion Proceedings of Short Papers EACL 2017, 2017	60	2017
Training with Exploration Improves a Greedy Stack-LSTM Parser M Ballesteros, Y Goldberg, C Dyer, NA Smith Proceedings of Short Papers EMNLP 2016, 2016	49	2016
Detecting readers with dyslexia using machine learning with eye tracking measures L Rello, M Ballesteros Proceedings of the 12th Web for All Conference, 16, 2015	42	2015
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	36	2018
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	35	2016
Going to the roots of dependency parsing M Ballesteros, J Nivre Computational Linguistics 39 (1), 5-13, 2013	32	2013
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs S Swayamdipta, M Ballesteros, C Dyer, NA Smith Proceedings of CoNLL 2016, 2016	30	2016
Data-driven sentence generation with non-isomorphic trees M Ballesteros, B Bohnet, S Mille, L Wanner Proceedings of NAACL 2015, 2015	29	2015

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