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    ACL
    2008
    115views Computational Linguistics» more  ACL 2008»
    Can You Summarize This? Identifying Correlates of Input Difficulty for Multi-Document Summarization
    13 years 7 months ago
    Can You Summarize This? Identifying Correlates of Input Difficulty for Multi-Document Summarization
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    Ani Nenkova, Annie Louis
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    ACL
    2007
    86views Computational Linguistics» more  ACL 2007»
    Generating Constituent Order in German Clauses
    13 years 7 months ago
    Generating Constituent Order in German Clauses
    Download  aclweb.org
    We investigate the factors which determine constituent order in German clauses and propose an algorithm which performs the task in two steps: First, the best candidate for the ini...
    Katja Filippova, Michael Strube
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    ACL
    2008
    116views Computational Linguistics» more  ACL 2008»
    Contradictions and Justifications: Extensions to the Textual Entailment Task
    13 years 7 months ago
    Contradictions and Justifications: Extensions to the Textual Entailment Task
    Download  www.aclweb.org
    The third PASCAL Recognizing Textual Entailment Challenge (RTE-3) contained an optional task that extended the main entailment task by requiring a system to make three-way entailm...
    Ellen M. Voorhees
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    ACL
    2008
    151views Computational Linguistics» more  ACL 2008»
    Semantic Role Labeling Systems for Arabic using Kernel Methods
    13 years 7 months ago
    Semantic Role Labeling Systems for Arabic using Kernel Methods
    Download  www.ist-luna.eu
    There is a widely held belief in the natural language and computational linguistics communities that Semantic Role Labeling (SRL) is a significant step toward improving important ...
    Mona T. Diab, Alessandro Moschitti, Daniele Pighin
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    ACL
    2007
    314views Computational Linguistics» more  ACL 2007»
    An API for Measuring the Relatedness of Words in Wikipedia
    13 years 7 months ago
    An API for Measuring the Relatedness of Words in Wikipedia
    Download  acl.ldc.upenn.edu
    We present an API for computing the semantic relatedness of words in Wikipedia.
    Simone Paolo Ponzetto, Michael Strube
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    ACL
    2008
    158views Computational Linguistics» more  ACL 2008»
    Automatic Image Annotation Using Auxiliary Text Information
    13 years 7 months ago
    Automatic Image Annotation Using Auxiliary Text Information
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    The availability of databases of images labeled with keywords is necessary for developing and evaluating image annotation models. Dataset collection is however a costly and time c...
    Yansong Feng, Mirella Lapata
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    ACL
    2008
    172views Computational Linguistics» more  ACL 2008»
    Integrating Graph-Based and Transition-Based Dependency Parsers
    13 years 7 months ago
    Integrating Graph-Based and Transition-Based Dependency Parsers
    Download  www.aclweb.org
    Previous studies of data-driven dependency parsing have shown that the distribution of parsing errors are correlated with theoretical properties of the models used for learning an...
    Joakim Nivre, Ryan T. McDonald
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    ACL
    2007
    85views Computational Linguistics» more  ACL 2007»
    A Translation Aid System with a Stratified Lookup Interface
    13 years 7 months ago
    A Translation Aid System with a Stratified Lookup Interface
    Download  www.mt-archive.info
    Takeshi Abekawa, Kyo Kageura
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    ACL
    2007
    117views Computational Linguistics» more  ACL 2007»
    Guiding Statistical Word Alignment Models With Prior Knowledge
    13 years 7 months ago
    Guiding Statistical Word Alignment Models With Prior Knowledge
    Download  aclweb.org
    We present a general framework to incorporate prior knowledge such as heuristics or linguistic features in statistical generative word alignment models. Prior knowledge plays a ro...
    Yonggang Deng, Yuqing Gao
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    ACL
    2008
    106views Computational Linguistics» more  ACL 2008»
    Analyzing the Errors of Unsupervised Learning
    13 years 7 months ago
    Analyzing the Errors of Unsupervised Learning
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    We identify four types of errors that unsupervised induction systems make and study each one in turn. Our contributions include (1) using a meta-model to analyze the incorrect bia...
    Percy Liang, Dan Klein
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