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    COLING
    2008
    159views Computational Linguistics» more  COLING 2008»
    Homotopy-Based Semi-Supervised Hidden Markov Models for Sequence Labeling
    13 years 9 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 9 months ago
    Chinese Term Extraction Using Minimal Resources
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    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 9 months ago
    Coreference Systems Based on Kernels Methods
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    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 9 months ago
    Using Syntactic Information for Improving Why-Question Answering
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    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 9 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 9 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 9 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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    COLING
    2008
    168views Computational Linguistics» more  COLING 2008»
    Applying Discourse Analysis and Data Mining Methods to Spoken OSCE Assessments
    13 years 9 months ago
    Applying Discourse Analysis and Data Mining Methods to Spoken OSCE Assessments
    Download  www.aclweb.org
    This paper looks at the transcribed data of patient-doctor consultations in an examination setting. The doctors are internationally qualified and enrolled in a bridging course as ...
    Meladel Mistica, Timothy Baldwin, Marisa Cordella,...
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    COLING
    2008
    191views Computational Linguistics» more  COLING 2008»
    Using Web-Search Results to Measure Word-Group Similarity
    13 years 9 months ago
    Using Web-Search Results to Measure Word-Group Similarity
    Download  www.aclweb.org
    Semantic relatedness between words is important to many NLP tasks, and numerous measures exist which use a variety of resources. Thus far, such work is confined to measuring simil...
    Ann Gledson, John Keane
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    COLING
    2008
    146views Computational Linguistics» more  COLING 2008»
    Investigating Statistical Techniques for Sentence-Level Event Classification
    13 years 9 months ago
    Investigating Statistical Techniques for Sentence-Level Event Classification
    Download  www.aclweb.org
    The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Summarisation. In ...
    Martina Naughton, Nicola Stokes, Joe Carthy
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