Miguel Ballesteros

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	总计	2019 年至今
引用	11892	8836
h 指数	36	32
i10 指数	68	55

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Chris DyerDeepMind, Carnegie Mellon在 google.com 的电子邮件经过验证
Guillaume LampleMistral AI在 mistral.ai 的电子邮件经过验证
Noah A. SmithUniversity of Washington; Allen Institute for Artificial Intelligence在 cs.washington.edu 的电子邮件经过验证
Graham NeubigCarnegie Mellon University, All Hands AI在 cs.cmu.edu 的电子邮件经过验证
Adhiguna KuncoroOxford University and Google DeepMind在 google.com 的电子邮件经过验证
Joakim NivreProfessor of Computational Linguistics, Uppsala University; Senior Researcher, RISE在 lingfil.uu.se 的电子邮件经过验证
Jie MaApplied Scientist, Amazon在 amazon.com 的电子邮件经过验证
Leo WannerICREA Research Professor, Pompeu Fabra University在 upf.edu 的电子邮件经过验证
Austin MatthewsCarnegie Mellon University在 cmu.edu 的电子邮件经过验证
Pablo GervásCatedrático de Universidad在 ucm.es 的电子邮件经过验证
Yoav GoldbergProfessor, Bar Ilan University. Research Director, AI2-Israel在 cs.biu.ac.il 的电子邮件经过验证
Shuai WangSenior Applied Scientist, Amazon在 amazon.com 的电子邮件经过验证
Waleed AmmarGoogle在 google.com 的电子邮件经过验证
Virginia FranciscoAssistant Professor of Computer Science, University Complutense of Madrid在 fdi.ucm.es 的电子邮件经过验证
Rishita AnubhaiPrincipal Applied Scientist, Amazon在 amazon.com 的电子邮件经过验证
Simon MilleADAPT Research Centre, Dublin City University在 adaptcentre.ie 的电子邮件经过验证
Horacio SaggionChair in Computer Science & Artificial Intelligence, Universitat Pompeu Fabra, DTIC在 upf.edu 的电子邮件经过验证
Bernd BohnetResearch Scientist, Google Deep Mind在 google.com 的电子邮件经过验证
Lingpeng KongGoogle DeepMind, The University of Hong Kong在 cs.hku.hk 的电子邮件经过验证
Dan RothProfessor of Computer Science, University of Pennsylvania在 seas.upenn.edu 的电子邮件经过验证

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Miguel Ballesteros

Principal Applied Scientist, Amazon

在 amazon.com 的电子邮件经过验证 - 首页

Natural Language Processing Deep Learning Computational Linguistics


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Neural Architectures for Named Entity Recognition G Lample, M Ballesteros, S Subramanian, K Kawakami, C Dyer Proceedings of NAACL 2016, 2016	5415	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	1050	2015
Recurrent Neural Network Grammars C Dyer, A Kuncoro, M Ballesteros, N Smith Proceedings of NAACL 2016, 2016	755*	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	351	2015
Many languages, one parser W Ammar, G Mulcaire, M Ballesteros, C Dyer, NA Smith Transactions of the Association for Computational Linguistics (TACL), 2016	285	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	217	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	216	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	160	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

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