Enrique Henestroza Anguiano
ehenestroza à gmail point com
I was a PhD student in computer science and linguistics at Université Paris Diderot, where my advisors were Laurence Danlos, Alexis Nasr, and Marie Candito. I was part of the Alpage project team, a collaboration between INRIA and Université Paris Diderot, which conducts research in natural language processing. In addition, I took part in the SEQUOIA research project, whose goal was to achieve large-scale, statistical syntactic parsing for French.
My research interests include natural language processing, computational linguistics, machine learning, statistical dependency parsing, and distributional lexical semantics.
Efficient Large-Context Dependency Parsing and Correction with Distributional Lexical Resources
Probabilistic lexical generalization for French dependency parsing
Ubiquitous usage of a broad coverage French corpus: Processing the Est Republicain corpus
A word clustering approach to domain adaptation: Effective parsing of biomedical texts
Benchmarking of statistical dependency parsers for French
Simultaneous multilingual search for translingual information retrieval
Mesures d'association lexicale pour
le traitement d'attachement des groupes prépositionnels
dans l'analyse syntaxique statistique du français.
Parse correction with specialized
models for difficult attachment types.
FreDist: A Python package implementing methods that integrate transition-based dependency parsing, neighborhood parse correction, and the extraction of distributional lexical resources that can be used as features in parsing models. [tgz]
|Last Updated: July 2nd, 2013|