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    LKR
    2008
    184views Knowledge Management» more  LKR 2008»
    Design and Prototype of a Large-Scale and Fully Sense-Tagged Corpus
    14 years 12 days ago
    Design and Prototype of a Large-Scale and Fully Sense-Tagged Corpus
    Download  cwn.ling.sinica.edu.tw
    Sense tagged corpus plays a very crucial role to Natural Language Processing, especially on the research of word sense disambiguation and natural language understanding. Having a l...
    Sue-jin Ker, Chu-Ren Huang, Jia-Fei Hong, Shi-Yin ...
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    LREC
    2008
    121views Education» more  LREC 2008»
    Holy Moses! Leveraging Existing Tools and Resources for Entity Translation
    14 years 12 days ago
    Holy Moses! Leveraging Existing Tools and Resources for Entity Translation
    Download  www.lrec-conf.org
    Recently, there has been an emphasis on creating shared resources for natural language processing applications. This has resulted in the development of high-quality tools and data...
    Jean Tavernier, Rosa Cowan, Michelle Vanni
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    NIPS
    2007
    182views Information Technology» more  NIPS 2007»
    Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
    14 years 11 days ago
    Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
    Download  books.nips.cc
    We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
    Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....
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    ACL
    2006
    147views Computational Linguistics» more  ACL 2006»
    Automated Japanese Essay Scoring System based on Articles Written by Experts
    14 years 11 days ago
    Automated Japanese Essay Scoring System based on Articles Written by Experts
    Download  acl.ldc.upenn.edu
    We have developed an automated Japanese essay scoring system called Jess. The system needs expert writings rather than expert raters to build the evaluation model. By detecting st...
    Tsunenori Ishioka, Masayuki Kameda
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    DAGSTUHL
    2004
    142views Software Engineering» more  DAGSTUHL 2004»
    Knowledge-Based Sampling for Subgroup Discovery
    14 years 11 days ago
    Knowledge-Based Sampling for Subgroup Discovery
    Download  www-ai.cs.uni-dortmund.de
    Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
    Martin Scholz
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