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    » Analyzing human intentions in natural language text
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    ACSC
    2000
    IEEE
    124views Theoretical Computer Science» more  ACSC 2000»
    Building Hybrid Knowledge Representations from Text
    14 years 1 months ago
    Building Hybrid Knowledge Representations from Text
    Download  www.comp.mq.edu.au
    A significant obstacle to the development of intelligent natural language processing systems is the lack of rich knowledge bases containing representations of world knowledge. Fo...
    Josef Meyer, Robert Dale
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    COLING
    2008
    152views Computational Linguistics» more  COLING 2008»
    Toward a Psycholinguistically-Motivated Model of Language Processing
    13 years 10 months ago
    Toward a Psycholinguistically-Motivated Model of Language Processing
    Download  www-users.cs.umn.edu
    Psycholinguistic studies suggest a model of human language processing that 1) performs incremental interpretation of spoken utterances or written text, 2) preserves ambiguity by m...
    William Schuler, Samir AbdelRahman, Tim Miller, La...
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    SOCIALCOM
    2010
    175views Security Privacy» more  SOCIALCOM 2010»
    Using Text Analysis to Understand the Structure and Dynamics of the World Wide Web as a Multi-Relational Graph
    13 years 6 months ago
    Using Text Analysis to Understand the Structure and Dynamics of the World Wide Web as a Multi-Relational Graph
    Download  www.cis.temple.edu
    A representation of the World Wide Web as a directed graph, with vertices representing web pages and edges representing hypertext links, underpins the algorithms used by web search...
    Harish Sethu, Alexander Yates
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    EACL
    2003
    ACL Anthology
    138views Natural Language Processing» more  EACL 2003»
    Cohesion and coherence for Automatic Summarization
    13 years 10 months ago
    Cohesion and coherence for Automatic Summarization
    Download  grial.uab.es
    This paper presents the integration of cohesive properties of text with coherence relations, to obtain an adequate representation of text for automatic summarization. A summarizer...
    Laura Alonso Alemany, María Fuentes Fort
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    ACL
    2012
    230views Computational Linguistics» more  ACL 2012»
    Learning to "Read Between the Lines" using Bayesian Logic Programs
    11 years 11 months ago
    Learning to "Read Between the Lines" using Bayesian Logic Programs
    Download  aclweb.org
    Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires ...
    Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
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