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» A Learning Approach to Shallow Parsing
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NAACL
2004
13 years 8 months ago
Shallow Semantic Parsing using Support Vector Machines
In this paper, we propose a machine learning algorithm for shallow semantic parsing, extending the work of Gildea and Jurafsky (2002), Surdeanu et al. (2003) and others. Our algor...
Sameer Pradhan, Wayne Ward, Kadri Hacioglu, James ...
COLING
2002
13 years 7 months ago
From Shallow to Deep Parsing Using Constraint Satisfaction
We present in this paper a technique allowing to choose the parsing granularity within the same approach relying on a constraint-based formalism. Its main advantage lies in the fa...
Jean-Marie Balfourier, Philippe Blache, Tristan va...
JMLR
2002
78views more  JMLR 2002»
13 years 6 months ago
Shallow Parsing using Specialized HMMs
We present a unified technique to solve different shallow parsing tasks as a tagging problem using a Hidden Markov Model-based approach (HMM). This technique consists of the incor...
Antonio Molina, Ferran Pla
ICML
2008
IEEE
14 years 8 months ago
Deep learning via semi-supervised embedding
We show how nonlinear embedding algorithms popular for use with shallow semisupervised learning techniques such as kernel methods can be applied to deep multilayer architectures, ...
Frédéric Ratle, Jason Weston, Ronan ...
ICFHR
2010
164views Biometrics» more  ICFHR 2010»
13 years 1 months ago
Alpha-Numerical Sequences Extraction in Handwritten Documents
In this paper, we introduce an alpha-numerical sequences extraction system (keywords, numerical fields or alpha-numerical sequences) in unconstrained handwritten documents. Contra...
Simon Thomas, Clément Chatelain, Laurent He...