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    LREC
    2008
    180views Education» more  LREC 2008»
    MaltEval: an Evaluation and Visualization Tool for Dependency Parsing
    13 years 9 months ago
    MaltEval: an Evaluation and Visualization Tool for Dependency Parsing
    Download  www.lrec-conf.org
    This paper presents a freely available evaluation tool for dependency parsing, MaltEval (http://w3.msi.vxu.se/users/jni/malteval). It is flexible and extensible, and provides func...
    Jens Nilsson, Joakim Nivre
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    ACL
    2008
    113views Computational Linguistics» more  ACL 2008»
    Simple Semi-supervised Dependency Parsing
    13 years 9 months ago
    Simple Semi-supervised Dependency Parsing
    Download  people.csail.mit.edu
    We present a simple and effective semisupervised method for training dependency parsers. We focus on the problem of lexical representation, introducing features that incorporate w...
    Terry Koo, Xavier Carreras, Michael Collins
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    ACL
    2012
    200views Computational Linguistics» more  ACL 2012»
    Incremental Joint Approach to Word Segmentation, POS Tagging, and Dependency Parsing in Chinese
    11 years 10 months ago
    Incremental Joint Approach to Word Segmentation, POS Tagging, and Dependency Parsing in Chinese
    Download  aclweb.org
    We propose the first joint model for word segmentation, POS tagging, and dependency parsing for Chinese. Based on an extension of the incremental joint model for POS tagging and ...
    Jun Hatori, Takuya Matsuzaki, Yusuke Miyao, Jun-ic...
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    EMNLP
    2009
    122views Natural Language Processing» more  EMNLP 2009»
    Unbounded Dependency Recovery for Parser Evaluation
    13 years 5 months ago
    Unbounded Dependency Recovery for Parser Evaluation
    Download  www.cl.cam.ac.uk
    This paper introduces a new parser evaluation corpus containing around 700 sentences annotated with unbounded dependencies, from seven different grammatical constructions. We run ...
    Laura Rimell, Stephen Clark, Mark Steedman
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    ACL
    2008
    123views Computational Linguistics» more  ACL 2008»
    Semi-Supervised Convex Training for Dependency Parsing
    13 years 9 months ago
    Semi-Supervised Convex Training for Dependency Parsing
    Download  www.aclweb.org
    We present a novel semi-supervised training algorithm for learning dependency parsers. By combining a supervised large margin loss with an unsupervised least squares loss, a discr...
    Qin Iris Wang, Dale Schuurmans, Dekang Lin
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