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    ACL
    2003
    111views Computational Linguistics» more  ACL 2003»
    Counter-Training in Discovery of Semantic Patterns
    14 years 11 months ago
    Counter-Training in Discovery of Semantic Patterns
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    This paper presents a method for unsupervised discovery of semantic patterns. Semantic patterns are useful for a variety of text understanding tasks, in particular for locating ev...
    Roman Yangarber
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    LREC
    2008
    110views Education» more  LREC 2008»
    Unsupervised and Domain Independent Ontology Learning: Combining Heterogeneous Sources of Evidence
    14 years 11 months ago
    Unsupervised and Domain Independent Ontology Learning: Combining Heterogeneous Sources of Evidence
    Download  www.lrec-conf.org
    Acquiring knowledge from the Web to build domain ontologies has become a common practice in the Ontological Engineering field. The vast amount of freely available information allo...
    David Manzano-Macho, Asunción Gómez-...
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    NAACL
    2010
    146views Computational Linguistics» more  NAACL 2010»
    Improved Extraction Assessment through Better Language Models
    14 years 7 months ago
    Improved Extraction Assessment through Better Language Models
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    A variety of information extraction techniques rely on the fact that instances of the same relation are "distributionally similar," in that they tend to appear in simila...
    Arun Ahuja, Doug Downey
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    IJCAI
    2007
    153views Artificial Intelligence» more  IJCAI 2007»
    A Flexible Unsupervised PP-Attachment Method Using Semantic Information
    14 years 11 months ago
    A Flexible Unsupervised PP-Attachment Method Using Semantic Information
    Download  www.cse.iitb.ac.in
    In this paper we revisit the classical NLP problem of prepositional phrase attachment (PPattachment). Given the pattern V −NP1−P −NP2 in the text, where V is verb, NP1 is a ...
    Srinivas Medimi, Pushpak Bhattacharyya
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    ICPR
    2008
    IEEE
    119views Computer Vision» more  ICPR 2008»
    Object-of-interest extraction by integrating stochastic inference with learnt active shape sketch
    15 years 4 months ago
    Object-of-interest extraction by integrating stochastic inference with learnt active shape sketch
    Download  figment.cse.usf.edu
    This article presents a novel integrated approach to object of interest extraction, including learning to define target pattern and extracting by combining detection and segmenta...
    Hongwei Li, Liang Lin, Tianfu Wu, Xiaobai Liu, Lan...
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