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    ACL
    2004
    89views Computational Linguistics» more  ACL 2004»
    Enriching the Output of a Parser Using Memory-based Learning
    13 years 10 months ago
    Enriching the Output of a Parser Using Memory-based Learning
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    We describe a method for enriching the output of a parser with information available in a corpus. The method is based on graph rewriting using memorybased learning, applied to dep...
    Valentin Jijkoun, Maarten de Rijke
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    ACL
    2006
    104views Computational Linguistics» more  ACL 2006»
    Unsupervised Relation Disambiguation Using Spectral Clustering
    13 years 10 months ago
    Unsupervised Relation Disambiguation Using Spectral Clustering
    Download  acl.ldc.upenn.edu
    This paper presents an unsupervised learning approach to disambiguate various relations between name entities by use of various lexical and syntactic features from the contexts. I...
    Jinxiu Chen, Dong-Hong Ji, Chew Lim Tan, Zheng-Yu ...
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    CSC
    2006
    71views Applied Computing» more  CSC 2006»
    Irregular Solutions of an Ill-Posed Problem
    13 years 10 months ago
    Irregular Solutions of an Ill-Posed Problem
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    Abstract: Tikhonov regularization is a popular and effective method for the approximate solution of illposed problems, including Fredholm equations of the first kind. The Tikhonov ...
    Peter Linz, Richard Wang
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    ESANN
    2004
    83views Neural Networks» more  ESANN 2004»
    Shear strength prediction using dimensional analysis and functional networks
    13 years 10 months ago
    Shear strength prediction using dimensional analysis and functional networks
    Download  www.dice.ucl.ac.be
    This paper presents a three steps methodology for predicting the failure shear effort in concrete beams. In the first step, dimensional analysis is applied to obtain several sets o...
    Amparo Alonso-Betanzos, Enrique Castillo, Oscar Fo...
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    ESANN
    2004
    97views Neural Networks» more  ESANN 2004»
    Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform
    13 years 10 months ago
    Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform
    Download  www.biologie.uni-regensburg.de
    We propose an algorithm for recovering the matrix A in X = AS where X is a random vector of lower dimension than S. S is assumed to be sparse in the sense that S has less nonzero e...
    Fabian J. Theis, Pando G. Georgiev, Andrzej Cichoc...
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