Miguel Ballesteros
Miguel Ballesteros
Senior Applied Scientist, Amazon
Verified email at amazon.com - Homepage
TitleCited byYear
Neural Architectures for Named Entity Recognition
G Lample, M Ballesteros, S Subramanian, K Kawakami, C Dyer
Proceedings of NAACL 2016, 2016
14592016
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
5482015
Dynet: The dynamic neural network toolkit
G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ...
arXiv preprint arXiv:1701.03980, 2017
236*2017
Recurrent Neural Network Grammars
C Dyer, A Kuncoro, M Ballesteros, NA Smith
Proceedings of NAACL 2016, 2016
2342016
Improved Transition-Based Parsing by Modeling Characters instead of Words with LSTMs
M Ballesteros, C Dyer, NA Smith
Proceedings of EMNLP 2015, 2015
2172015
Many languages, one parser
W Ammar, G Mulcaire, M Ballesteros, C Dyer, NA Smith
Transactions of the Association for Computational Linguistics (TACL), 2016
1262016
Universal Dependencies 2.2
J Nivre, M Abrams, Ž Agić, L Ahrenberg, L Antonsen, MJ Aranzabe, ...
1072018
Universal Dependencies 1.2
J Nivre, Ž Agić, MJ Aranzabe, M Asahara, A Atutxa, M Ballesteros, J Bauer, ...
Universal Dependencies Consortium, 2015
92*2015
MaltOptimizer: an optimization tool for MaltParser
M Ballesteros, J Nivre
Proceedings of the Demonstrations at EACL 2012, 2012
702012
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, ...
652017
MaltOptimizer: A System for MaltParser Optimization.
M Ballesteros, J Nivre
Proceedings of LREC 2012, 2012
632012
Are Emojis Predictable?
F Barbieri, M Ballesteros, H Saggion
Proceedings of Short Papers EACL 2017, 2017
612017
Training with Exploration Improves a Greedy Stack-LSTM Parser
M Ballesteros, Y Goldberg, C Dyer, NA Smith
Proceedings of Short Papers EMNLP 2016, 2016
492016
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
422015
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
362018
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
352016
Going to the roots of dependency parsing
M Ballesteros, J Nivre
Computational Linguistics 39 (1), 5-13, 2013
322013
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs
S Swayamdipta, M Ballesteros, C Dyer, NA Smith
Proceedings of CoNLL 2016, 2016
302016
Data-driven sentence generation with non-isomorphic trees
M Ballesteros, B Bohnet, S Mille, L Wanner
Proceedings of NAACL 2015, 2015
292015
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Articles 1–20