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    LREC
    2008
    108views Education» more  LREC 2008»
    Comparing Dependency and Constituent Syntax for Frame-semantic Analysis
    13 years 10 months ago
    Comparing Dependency and Constituent Syntax for Frame-semantic Analysis
    Download  www.lrec-conf.org
    We address the question of which syntactic representation is best suited for role-semantic analysis of English in the FrameNet paradigm. We compare systems based on dependencies a...
    Richard Johansson, Pierre Nugues
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    NIPS
    2008
    138views Information Technology» more  NIPS 2008»
    Learning Taxonomies by Dependence Maximization
    13 years 10 months ago
    Learning Taxonomies by Dependence Maximization
    Download  www.kyb.mpg.de
    We introduce a family of unsupervised algorithms, numerical taxonomy clustering, to simultaneously cluster data, and to learn a taxonomy that encodes the relationship between the ...
    Matthew B. Blaschko, Arthur Gretton
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    ACL
    2006
    140views Computational Linguistics» more  ACL 2006»
    Guiding a Constraint Dependency Parser with Supertags
    13 years 10 months ago
    Guiding a Constraint Dependency Parser with Supertags
    Download  nats-www.informatik.uni-hamburg.de
    We investigate the utility of supertag information for guiding an existing dependency parser of German. Using weighted constraints to integrate the additionally available informat...
    Kilian A. Foth, Tomas By, Wolfgang Menzel
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    ACL
    2006
    125views Computational Linguistics» more  ACL 2006»
    Contextual Dependencies in Unsupervised Word Segmentation
    13 years 10 months ago
    Contextual Dependencies in Unsupervised Word Segmentation
    Download  cocosci.berkeley.edu
    Developing better methods for segmenting continuous text into words is important for improving the processing of Asian languages, and may shed light on how humans learn to segment...
    Sharon Goldwater, Thomas L. Griffiths, Mark Johnso...
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    NIPS
    2004
    128views Information Technology» more  NIPS 2004»
    Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model
    13 years 10 months ago
    Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model
    Download  books.nips.cc
    We derive an optimal learning rule in the sense of mutual information maximization for a spiking neuron model. Under the assumption of small fluctuations of the input, we find a s...
    Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aiha...
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