Exploració per autor "Bailly, Raphaël"
Ara es mostren els items 1-3 de 3
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Unsupervised spectral learning of finite-state transducers
Bailly, Raphaël; Carreras Pérez, Xavier; Quattoni, Ariadna Julieta (2012)
Text en actes de congrés
Accés obertFinite-State Transducers (FST) are a standard tool for modeling paired inputoutput sequences and are used in numerous applications, ranging from computational biology to natural language processing. Recently Balle et al. ... -
Unsupervised spectral learning of FSTs
Bailly, Raphaël; Carreras Pérez, Xavier; Quattoni, Ariadna Julieta (2013)
Text en actes de congrés
Accés obertFinite-State Transducers (FST) are a standard tool for modeling paired input output sequences and are used in numerous applications, ranging from computational biology to natural language processing. Recently Balle et al. ... -
Unsupervised spectral learning of WCFG as low-rank matrix completion
Bailly, Raphaël; Carreras Pérez, Xavier; Luque, Franco M.; Quattoni, Ariadna Julieta (Association for Computational Linguistics, 2013)
Comunicació de congrés
Accés obertWe derive a spectral method for unsupervised learning ofWeighted Context Free Grammars. We frame WCFG induction as finding a Hankel matrix that has low rank and is linearly constrained to represent a function computed by ...