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    COLING
    2008
    114views Computational Linguistics» more  COLING 2008»
    Modeling Semantic Containment and Exclusion in Natural Language Inference
    13 years 7 months ago
    Modeling Semantic Containment and Exclusion in Natural Language Inference
    Download  nlp.stanford.edu
    We propose an approach to natural language inference based on a model of natural logic, which identifies valid inferences by their lexical and syntactic features, without full sem...
    Bill MacCartney, Christopher D. Manning
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    COLING
    2008
    115views Computational Linguistics» more  COLING 2008»
    Stopping Criteria for Active Learning of Named Entity Recognition
    13 years 7 months ago
    Stopping Criteria for Active Learning of Named Entity Recognition
    Download  www.aclweb.org
    Active learning is a proven method for reducing the cost of creating the training sets that are necessary for statistical NLP. However, there has been little work on stopping crit...
    Florian Laws, Hinrich Schütze
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    COLING
    2008
    151views Computational Linguistics» more  COLING 2008»
    Automatic Seed Word Selection for Unsupervised Sentiment Classification of Chinese Text
    13 years 7 months ago
    Automatic Seed Word Selection for Unsupervised Sentiment Classification of Chinese Text
    Download  www.aclweb.org
    We describe and evaluate a new method of automatic seed word selection for unsupervised sentiment classification of product reviews in Chinese. The whole method is unsupervised an...
    Taras Zagibalov, John Carroll
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    COLING
    2008
    159views Computational Linguistics» more  COLING 2008»
    Homotopy-Based Semi-Supervised Hidden Markov Models for Sequence Labeling
    13 years 7 months ago
    Homotopy-Based Semi-Supervised Hidden Markov Models for Sequence Labeling
    Download  www.cs.sfu.ca
    This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...
    Gholamreza Haffari, Anoop Sarkar
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    COLING
    2008
    103views Computational Linguistics» more  COLING 2008»
    Chinese Term Extraction Using Minimal Resources
    13 years 7 months ago
    Chinese Term Extraction Using Minimal Resources
    Download  www.aclweb.org
    Yuhang Yang, Qin Lu, Tiejun Zhao
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    COLING
    2008
    141views Computational Linguistics» more  COLING 2008»
    Coreference Systems Based on Kernels Methods
    13 years 7 months ago
    Coreference Systems Based on Kernels Methods
    Download  dit.unitn.it
    Various types of structural information e.g., about the type of constructions in which binding constraints apply, or about the structure of names - play a central role in corefere...
    Yannick Versley, Alessandro Moschitti, Massimo Poe...
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    COLING
    2008
    107views Computational Linguistics» more  COLING 2008»
    Using Syntactic Information for Improving Why-Question Answering
    13 years 7 months ago
    Using Syntactic Information for Improving Why-Question Answering
    Download  lands.let.ru.nl
    Suzan Verberne, Lou Boves, Nelleke Oostdijk, Peter...
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    COLING
    2008
    182views Computational Linguistics» more  COLING 2008»
    Topic Identification for Fine-Grained Opinion Analysis
    13 years 7 months ago
    Topic Identification for Fine-Grained Opinion Analysis
    Download  www.cs.cornell.edu
    Within the area of general-purpose finegrained subjectivity analysis, opinion topic identification has, to date, received little attention due to both the difficulty of the task a...
    Veselin Stoyanov, Claire Cardie
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    COLING
    2008
    119views Computational Linguistics» more  COLING 2008»
    Using Hidden Markov Random Fields to Combine Distributional and Pattern-Based Word Clustering
    13 years 7 months ago
    Using Hidden Markov Random Fields to Combine Distributional and Pattern-Based Word Clustering
    Download  www.tkl.iis.u-tokyo.ac.jp
    Word clustering is a conventional and important NLP task, and the literature has suggested two kinds of approaches to this problem. One is based on the distributional similarity a...
    Nobuhiro Kaji, Masaru Kitsuregawa
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    COLING
    2008
    130views Computational Linguistics» more  COLING 2008»
    Re-estimation of Lexical Parameters for Treebank PCFGs
    13 years 7 months ago
    Re-estimation of Lexical Parameters for Treebank PCFGs
    Download  aclweb.org
    We present procedures which pool lexical information estimated from unlabeled data via the Inside-Outside algorithm, with lexical information from a treebank PCFG. The procedures ...
    Tejaswini Deoskar
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