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    LREC
    2010
    130views Education» more  LREC 2010»
    Active Learning for Building a Corpus of Questions for Parsing
    15 years 7 months ago
    Active Learning for Building a Corpus of Questions for Parsing
    Download  www.lrec-conf.org
    Jordi Atserias, Giuseppe Attardi, Maria Simi, Hugo...
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    LREC
    2010
    126views Education» more  LREC 2010»
    Exploiting Scope for Shallow Discourse Parsing
    15 years 7 months ago
    Exploiting Scope for Shallow Discourse Parsing
    Download  www.seas.upenn.edu
    We present an approach to automatically identifying the arguments of discourse connectives based on data from the Penn Discourse Treebank. Of the two arguments of connectives, cal...
    Rashmi Prasad, Aravind K. Joshi, Bonnie L. Webber
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    LREC
    2010
    154views Education» more  LREC 2010»
    Statistical French Dependency Parsing: Treebank Conversion and First Results
    15 years 7 months ago
    Statistical French Dependency Parsing: Treebank Conversion and First Results
    Download  pauillac.inria.fr
    We first describe the automatic conversion of the French Treebank (Abeill
    Marie Candito, Benoît Crabbé, Pascal ...
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    EMNLP
    2007
    92views Natural Language Processing» more  EMNLP 2007»
    Multilingual Deterministic Dependency Parsing Framework using Modified Finite Newton Method Support Vector Machines
    15 years 7 months ago
    Multilingual Deterministic Dependency Parsing Framework using Modified Finite Newton Method Support Vector Machines
    Download  www.aclweb.org
    Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee
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    EMNLP
    2007
    143views Natural Language Processing» more  EMNLP 2007»
    Multilingual Dependency Parsing Using Global Features
    15 years 7 months ago
    Multilingual Dependency Parsing Using Global Features
    Download  acl.ldc.upenn.edu
    In this paper, we describe a two-stage multilingual dependency parser used for the multilingual track of the CoNLL 2007 shared task. The system consists of two components: an unla...
    Tetsuji Nakagawa
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