Miguel Ballesteros  Miguel Ballesteros photo       

contact information

Parsing. Deep learning/neural models for parsing. Transition-based modeling in NLP
Thomas J. Watson Research Center, Yorktown Heights, NY USA

links

Professional Associations

Professional Associations:  Association for Computational Linguistics


2016

Static and Dynamic Feature Selection in Morphosyntactic Analyzers
Bohnet, Bernd and Ballesteros, Miguel and McDonald, Ryan and Nivre, Joakim
arXiv preprint arXiv:1603.06503, 2016
Abstract

Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser
Kuncoro, Adhiguna and Ballesteros, Miguel and Kong, Lingpeng and Dyer, Chris and Smith, Noah A
EMNLP 2016 Conference
Abstract

Recurrent neural network grammars
Dyer, Chris and Kuncoro, Adhiguna and Ballesteros, Miguel and Smith, Noah A
NAACL/HLT 2016 Conference
Abstract

Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs
Swayamdipta, Swabha and Ballesteros, Miguel and Dyer, Chris and Smith, Noah A
CoNLL 2016 Conference
Abstract

Training with Exploration Improves a Greedy Stack-LSTM Parser
Ballesteros, Miguel and Goldberg, Yoav and Dyer, Chris and Smith, Noah A
EMNLP 2016 Conference
Abstract

Dytective: Diagnosing risk of dyslexia with a game
Rello, Luz and Ballesteros, Miguel and Ali, Abdullah and Serra, Miquel and Alarc{'o}n, D and Bigham, Jeffrey P
Proc. Pervasive Health16, 2016
Abstract

Many languages, one parser
Ammar, Waleed and Mulcaire, George and Ballesteros, Miguel and Dyer, Chris and Smith, Noah A
TACL, 2016
Abstract

Universal Dependencies V1.2
Nivre, Joakim and Agic, {v{Z}}eljko and Aranzabe, Maria Jesus and Asahara, Masayuki and Atutxa, Aitziber and Ballesteros, Miguel and Bauer, John and Bengoetxea, Kepa and Bhat, Riyaz Ahmad and Bosco, Cristina and others
Universal dependencies1, 2016

MaltOptimizer: Fast and effective parser optimization
Ballesteros, Miguel and Nivre, Joakim
Natural Language Engineering 22(02), 187--213, Cambridge Univ Press, 2016
Abstract

Neural architectures for named entity recognition
Lample, Guillaume and Ballesteros, Miguel and Subramanian, Sandeep and Kawakami, Kazuya and Dyer, Chris
NAACL 2016 Conference
Abstract

What Do Recurrent Neural Network Grammars Learn About Syntax?
Kuncoro, Adhiguna and Ballesteros, Miguel and Kong, Lingpeng and Dyer, Chris and Neubig, Graham and Smith, Noah A
arXiv preprint arXiv:1611.05774, 2016
Abstract


2015

A Spellchecker for Dyslexia
Rello, Luz and Ballesteros, Miguel and Bigham, Jeffrey P
Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility, pp. 39--47, 2015
Abstract

Visualizing Deep-Syntactic Parser Output
Soler-Company, Juan and Ballesteros, Miguel and Bohnet, Bernd and Mille, Simon and Wanner, Leo
Proceedings of NAACL-HLT, pp. 56--60, 2015
Abstract

Universal Dependencies 1.2
Nivre, Joakim and Agi{'c}, {v{Z}}eljko and Aranzabe, Maria Jesus and Asahara, Masayuki and Atutxa, Aitziber and Ballesteros, Miguel and Bauer, John and Bengoetxea, Kepa and Bhat, Riyaz Ahmad and Bosco, Cristina and others
2015 - lindat.mff.cuni.cz, Universal Dependencies Consortium
Abstract

Transition-based spinal parsing
Ballesteros, Miguel and Carreras, Xavier
Proceedings of CoNLL-2015
Abstract

Detecting readers with dyslexia using machine learning with eye tracking measures
Rello, Luz and Ballesteros, Miguel
Proceedings of the 12th Web for All Conference, pp. 16, 2015
Abstract

Data-driven sentence generation with non-isomorphic trees
Ballesteros, Miguel and Bohnet, Bernd and Mille, Simon and Wanner, Leo
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics--Human Language Technologies (NAACL HLT 2015)
Abstract

Improved transition-based parsing by modeling characters instead of words with LSTMs
Ballesteros, Miguel and Dyer, Chris and Smith, Noah A
EMNLP 2015
Abstract

Transition-based dependency parsing with stack long short-term memory
Dyer, Chris and Ballesteros, Miguel and Ling, Wang and Matthews, Austin and Smith, Noah A
ACL 2015
Abstract


2014

ViZPar: A GUI for ZPar with Manual Feature Selection
Ortiz, Isabel and Ballesteros Mart{'i}nez, Miguel and Zhang, Yue
2014 - rua.ua.es, Sociedad Espa{~n}ola para el Procesamiento del Lenguaje Natural
Abstract

Classifiers for data-driven deep sentence generation
Ballesteros, Miguel and Mille, Simon and Wanner, Leo
INLG 2014, 108
Abstract

Automatic Feature Selection for Agenda-Based Dependency Parsing.
Ballesteros, Miguel and Bohnet, Bernd
COLING, pp. 794--805, 2014
Abstract

Deep-Syntactic Parsing.
Ballesteros, Miguel and Bohnet, Bernd and Mille, Simon and Wanner, Leo
COLING, pp. 1402--1413, 2014
Abstract


2013

MaltDiver: A Transition-Based Parser Visualizer.
Ballesteros, Miguel and Carlini, Roberto
IJCNLP, pp. 25--28, 2013
Abstract

Exploring morphosyntactic annotation over a spanish corpus for dependency parsing
Burga, Miguel Ballesteros Simon Mille Alicia
DepLing 2013, 13
Abstract

Effective morphological feature selection with MaltOptimizer at the SPMRL 2013 shared task
Ballesteros, Miguel
Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically-Rich Languages, pp. 53--60, 2013
Abstract

Finding dependency parsing limits over a large spanish corpus
Padr{'o}, Muntsa and Ballesteros, Miguel and Mart{'i}nez, H{'e}ctor and Bohnet, Bernd
Proceedings of the Sixth International Joint Conference on Natural Language Processing; 2013 October 14-18; Nagoya, Japan. Nagoya: Asian Federation of Natural Language Processing; 2013. p. 942-946.
Abstract

Going to the roots of dependency parsing
Ballesteros, Miguel and Nivre, Joakim
Computational Linguistics 39(1), 5--13, MIT Press, 2013
Abstract


2012

Optimizing planar and 2-planar parsers with MaltOptimizer
Ballesteros, Miguel and Rodr{'i}guez, Carlos G{'o}mez and Nivre, Joakim
Procesamiento del lenguaje natural49, 171--178, 2012
Abstract

UCM at TREC-2012: Does negation influence the retrieval of medical reports?
Diaz, Alberto and Ballesteros, Miguel and Carrillo-de-Albornoz, Jorge and Plaza, Laura
Technical Report, DTIC Document, 2012
Abstract

MaltOptimizer: an optimization tool for MaltParser
Ballesteros, Miguel and Nivre, Joakim
Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pp. 58--62, 2012
Abstract

MaltOptimizer: A System for MaltParser Optimization.
Nivre, Joakim and Ballesteros, Miguel
Eighth International Conference on Language Resources and Evaluation (LREC), 2012
Abstract

MaltOptimizer: A System for MaltParser Optimization.
Ballesteros, Miguel and Nivre, Joakim
LREC, pp. 2757--2763, 2012
Abstract


2010

Jadaweb: A cbr system for cooking recipes
Ballesteros, Miguel and Mart{i}n, Ra{'u}l and D{i}az-Agudo, Bel{'e}n
Workshop Proceedings, pp. 179, 2010
Abstract

Improving Parsing Accuracy for Spanish using Maltparser
Ballesteros, Miguel and Herrera, Jes{'u}s and Francisco, Virginia and Gerv{'a}s, Pablo
Procesamiento del Lenguaje Natural44, 83--90, 2010
Abstract


Year Unknown

A Neural Network Architecture for Multilingual Punctuation Generation
Ballesteros, Miguel and Wanner, Leo
aclweb.org, 0
Abstract

Transition-Based Dependency Parsing with Heuristic Backtracking
Buckman, Jacob and Ballesteros, Miguel and Dyer, Chris
aclweb.org, 0
Abstract

Lingpeng Kong, Chris Dyer, and Noah A. Smith. 2016. Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser
Kuncoro, Adhiguna and Ballesteros, Miguel
Proceedings of EMNLP, 0




Technical Areas