Miguel Ballesteros

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Chris DyerDeepMind, Carnegie MellonVerified email at google.com
Sandeep SubramanianNVIDIAVerified email at umontreal.ca
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
Joakim NivreProfessor of Computational Linguistics, Uppsala University; Senior Researcher, RISEVerified email at lingfil.uu.se
Adhiguna KuncoroOxford University and Google DeepMindVerified email at google.com
Kawakami KazuyaUniversity of Oxford, Department of Computer ScienceVerified email at cs.ox.ac.uk
Graham NeubigAssociate Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Austin MatthewsCarnegie Mellon UniversityVerified email at cmu.edu
Yoav GoldbergProfessor, Bar Ilan UniversityVerified email at cs.biu.ac.il
Pablo GervásCatedrático de UniversidadVerified email at ucm.es
Leo WannerICREA Research Professor, Pompeu Fabra UniversityVerified email at upf.edu
Waleed AmmarGoogleVerified email at google.com
Virginia FranciscoAssistant Professor of Computer Science, University Complutense of MadridVerified email at fdi.ucm.es
Francesco BarbieriSnap Inc.Verified email at snap.com
Bernd BohnetResearch Scientist, GoogleVerified email at google.com
Simon MilleUniversitat Pompeu FabraVerified email at upf.edu
Lingpeng KongGoogle DeepMind, The University of Hong KongVerified email at cs.hku.hk
Horacio SaggionChair in Computer Science & Artificial Intelligence, Department of Information & CommunicationVerified email at upf.edu
Alberto DíazProfesor Titular de UniversidadVerified email at fdi.ucm.es

Miguel Ballesteros

Principal Applied Scientist, Amazon

Verified email at amazon.com - Homepage

Natural Language Processing Deep Learning Computational Linguistics all_pubs_hand_verified_to_be_actually_mine


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Neural Architectures for Named Entity Recognition G Lample, M Ballesteros, S Subramanian, K Kawakami, C Dyer Proceedings of NAACL 2016, 2016	3705	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	916	2015
Recurrent Neural Network Grammars C Dyer, A Kuncoro, M Ballesteros, NA Smith Proceedings of NAACL 2016, 2016	539	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	401*	2017
Improved Transition-Based Parsing by Modeling Characters instead of Words with LSTMs M Ballesteros, C Dyer, NA Smith Proceedings of EMNLP 2015, 2015	319	2015
Universal dependencies 2.0 J Nivre, Ž Agić, L Ahrenberg, MJ Aranzabe, M Asahara, A Atutxa, ... URL http://hdl. handle. net/11234/1-1983. LINDAT/CLARIN digital library at …, 2017	248*	2017
Many languages, one parser W Ammar, G Mulcaire, M Ballesteros, C Dyer, NA Smith Transactions of the Association for Computational Linguistics (TACL), 2016	230	2016
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	135	2017
Are Emojis Predictable? F Barbieri, M Ballesteros, H Saggion Proceedings of Short Papers EACL 2017, 2017	119	2017
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	108	2015
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	100	2019
Semeval 2018 task 2: Multilingual emoji prediction F Barbieri, J Camacho-Collados, F Ronzano, L Espinosa Anke, ... 12th International Workshop on Semantic Evaluation (SemEval 2018), 24-33, 2018	89	2018
MaltOptimizer: an optimization tool for MaltParser M Ballesteros, J Nivre Proceedings of the Demonstrations at EACL 2012, 2012	82	2012
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	79	2016
Universal Dependencies 2.1 J Nivre, Ž Agić, L Ahrenberg, L Antonsen, MJ Aranzabe, M Asahara, ... LINDAT/CLARIN digital library at the Institute of Formal and Applied …, 2017	78*	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	78	2016
Universal Dependencies 2.6 D Zeman, J Nivre, M Abrams, E Ackermann, N Aepli, Ž Agic, L Ahrenberg, ... LINDAT/CLARIAHCZ digital library at the Institute of Formal and Applied …, 2020	77	2020
Scheduled Multi-Task Learning: From Syntax to Translation E Kiperwasser, M Ballesteros Transactions of the Association for Computational Linguistics, 2018 …, 2018	75	2018
MaltOptimizer: A System for MaltParser Optimization. M Ballesteros, J Nivre Proceedings of LREC 2012, 2012	69	2012
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs S Swayamdipta, M Ballesteros, C Dyer, NA Smith Proceedings of CoNLL 2016, 2016	59	2016

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