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    » Predicting Appropriate Semantic Web Terms from Words
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    ASSETS
    2007
    ACM
    160views Emerging Technology» more  ASSETS 2007»
    SIBYLLE: a system for alternative communication adapting to the context and its user
    13 years 11 months ago
    SIBYLLE: a system for alternative communication adapting to the context and its user
    Download  www.info.univ-tours.fr
    In this paper, we describe the latest version of SIBYLLE, an AAC system that permits persons suffering from severe physical disabilities to enter text with any computer applicatio...
    Tonio Wandmacher, Jean-Yves Antoine, Franck Poirie...
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    EMNLP
    2009
    115views Natural Language Processing» more  EMNLP 2009»
    Statistical Estimation of Word Acquisition with Application to Readability Prediction
    13 years 4 months ago
    Statistical Estimation of Word Acquisition with Application to Readability Prediction
    Download  research.microsoft.com
    Models of language learning play a central role in a wide range of applications: from psycholinguistic theories of how people acquire new word knowledge, to information systems th...
    Paul Kidwell, Guy Lebanon, Kevyn Collins-Thompson
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    SAC
    2005
    ACM
    203views Applied Computing» more  SAC 2005»
    Automatic learning of text-to-concept mappings exploiting WordNet-like lexical networks
    14 years 19 days ago
    Automatic learning of text-to-concept mappings exploiting WordNet-like lexical networks
    Download  www.cad.polito.it
    A great jump towards the advent of the Semantic Web will take place when a critical mass of web resources is available for use in a semantic way. This goal can be reached by the c...
    Dario Bonino, Fulvio Corno, Federico Pescarmona
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    WWW
    2009
    ACM
    227views Internet Technology» more  WWW 2009»
    Measuring the similarity between implicit semantic relations from the web
    14 years 7 months ago
    Measuring the similarity between implicit semantic relations from the web
    Download  www2009.org
    Measuring the similarity between semantic relations that hold among entities is an important and necessary step in various Web related tasks such as relation extraction, informati...
    Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
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    ACL
    2006
    131views Computational Linguistics» more  ACL 2006»
    Semantic Taxonomy Induction from Heterogenous Evidence
    13 years 8 months ago
    Semantic Taxonomy Induction from Heterogenous Evidence
    Download  ai.stanford.edu
    We propose a novel algorithm for inducing semantic taxonomies. Previous algorithms for taxonomy induction have typically focused on independent classifiers for discovering new sin...
    Rion Snow, Daniel Jurafsky, Andrew Y. Ng
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