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    CIMCA
    2006
    IEEE
    130views Intelligent Agents» more  CIMCA 2006»
    Identification of Document Language is Not yet a Completely Solved Problem
    14 years 11 months ago
    Identification of Document Language is Not yet a Completely Solved Problem
    Download  hlt.di.fct.unl.pt
    Existing Language Identification (LID) approaches do reach 100% precision, in most common situations, when dealing with documents written in just one language, and when those docu...
    Joaquim Ferreira da Silva, Gabriel Pereira Lopes
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    AAAI
    2004
    121views Intelligent Agents» more  AAAI 2004»
    Identification and Tracing of Ambiguous Names: Discriminative and Generative Approaches
    14 years 11 months ago
    Identification and Tracing of Ambiguous Names: Discriminative and Generative Approaches
    Download  l2r.cs.uiuc.edu
    A given entity
    Xin Li, Paul Morie, Dan Roth
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    FINTAL
    2006
    135views Natural Language Processing» more  FINTAL 2006»
    Paraphrase Identification on the Basis of Supervised Machine Learning Techniques
    15 years 1 months ago
    Paraphrase Identification on the Basis of Supervised Machine Learning Techniques
    Download  www.isi.edu
    Abstract. This paper presents a machine learning approach for paraphrase identification which uses lexical and semantic similarity information. In the experimental studies, we exam...
    Zornitsa Kozareva, Andrés Montoyo
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    ACL
    2006
    113views Computational Linguistics» more  ACL 2006»
    A Hybrid Relational Approach for WSD - First Results
    14 years 11 months ago
    A Hybrid Relational Approach for WSD - First Results
    Download  acl.ldc.upenn.edu
    We present a novel hybrid approach for Word Sense Disambiguation (WSD) which makes use of a relational formalism to represent instances and background knowledge. It is built using...
    Lucia Specia
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    ICML
    2010
    IEEE
    181views Machine Learning» more  ICML 2010»
    Learning Markov Logic Networks Using Structural Motifs
    14 years 10 months ago
    Learning Markov Logic Networks Using Structural Motifs
    Download  www.cs.washington.edu
    Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
    Stanley Kok, Pedro Domingos
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