Miguel Ballesteros
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
27682016
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
8102015
Recurrent Neural Network Grammars
C Dyer, A Kuncoro, M Ballesteros, NA Smith
Proceedings of NAACL 2016, 2016
4452016
Dynet: The dynamic neural network toolkit
G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ...
arXiv preprint arXiv:1701.03980, 2017
362*2017
Improved Transition-Based Parsing by Modeling Characters instead of Words with LSTMs
M Ballesteros, C Dyer, NA Smith
Proceedings of EMNLP 2015, 2015
2922015
Many languages, one parser
W Ammar, G Mulcaire, M Ballesteros, C Dyer, NA Smith
Transactions of the Association for Computational Linguistics (TACL), 2016
187*2016
Universal Dependencies 1.2
J Nivre, Ž Agić, MJ Aranzabe, M Asahara, A Atutxa, M Ballesteros, J Bauer, ...
Universal Dependencies Consortium, 2015
157*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
1122017
Are Emojis Predictable?
F Barbieri, M Ballesteros, H Saggion
Proceedings of Short Papers EACL 2017, 2017
962017
MaltOptimizer: an optimization tool for MaltParser
M Ballesteros, J Nivre
Proceedings of the Demonstrations at EACL 2012, 2012
802012
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
79*2017
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
752015
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
702016
Training with Exploration Improves a Greedy Stack-LSTM Parser
M Ballesteros, Y Goldberg, C Dyer, NA Smith
Proceedings of Short Papers EMNLP 2016, 2016
702016
MaltOptimizer: A System for MaltParser Optimization.
M Ballesteros, J Nivre
Proceedings of LREC 2012, 2012
692012
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
632018
Universal dependencies 2.0 (2017)
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
59*2017
Scheduled Multi-Task Learning: From Syntax to Translation
E Kiperwasser, M Ballesteros
Transactions of the Association for Computational Linguistics, 2018 …, 2018
572018
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
502019
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs
S Swayamdipta, M Ballesteros, C Dyer, NA Smith
Proceedings of CoNLL 2016, 2016
472016
The system can't perform the operation now. Try again later.
Articles 1–20