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Rafael C. Carrasco

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

12

Venues

10

Active years

1995–2015

Best venue rank

A*

Where they publish

Papers

12 indexed papers, newest first.

YearVenueTitleAuthors
2015ECIRLinguistically-Enhanced Search over an Open Diachronic Corpus.Rafael C. Carrasco, Isabel Martnez-Sempere, Enrique Moll-Ganda, Felipe Snchez-Martnez, Gustavo Candela Romero, Maria Pilar Escobar Esteban
2014EAMTAn efficient method to assist non-expert users in extending dictionaries by assigning stems and inflectional paradigms to unknknown words.Miquel Espl-Gomis, Vctor M. Snchez-Cartagena, Felipe Snchez-Martnez, Rafael C. Carrasco, Mikel L. Forcada, Juan Antonio Prez-Ortiz
2013IJCAIGeneralized Biwords for Bitext Compression and Translation Spotting: Extended Abstract.Felipe Snchez-Martnez, Rafael C. Carrasco, Miguel A. Martnez-Prieto, Joaqun Adiego
2009DCCOn the Use of Word Alignments to Enhance Bitext Compression.Miguel A. Martnez-Prieto, Joaqun Adiego, Felipe Snchez-Martnez, Pablo de la Fuente, Rafael C. Carrasco
2003CIARPLearning probabilistic context-free grammars from treebanks.Jose L. Verd-Mas, Jorge Calera-Rubio, Rafael C. Carrasco
2003IBPRIASmoothing Techniques for Tree-k-Grammar-Based Natural Language Modeling.Jose L. Verd-Mas, Jorge Calera-Rubio, Rafael C. Carrasco
2002SSPRTree k-Grammar Models for Natural Language Modelling and Parsing.Jose L. Verd-Mas, Mikel L. Forcada, Rafael C. Carrasco, Jorge Calera-Rubio
2000CoNLLA Comparison of PCFG Models.Jose L. Verd-Mas, Jorge Calera-Rubio, Rafael C. Carrasco
2000SSPREncoding Nondeterministic Finite-State Tree Automata in Sigmoid Recursive Neural Networks.Mikel L. Forcada, Rafael C. Carrasco
2000SSPRLossless Compression of Surfaces Described as Points.Juan Ramn Rico-Juan, Jorge Calera-Rubio, Rafael C. Carrasco
1999ESANNEncoding of sequential translators in discrete-time recurrent neural nets.Ramn P. eco, Mikel L. Forcada, Rafael C. Carrasco, M. ngeles Valds-Muoz
1995IWANNSecond-Order Recurrent Neural Networks Can Learn Regular Grammars from Noisy Strings.Rafael C. Carrasco, Mikel L. Forcada