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    EMNLP
    2010
    179views Natural Language Processing» more  EMNLP 2010»
    Automatic Keyphrase Extraction via Topic Decomposition
    13 years 7 months ago
    Automatic Keyphrase Extraction via Topic Decomposition
    Download  nlp.csai.tsinghua.edu.cn
    Existing graph-based ranking methods for keyphrase extraction compute a single importance score for each word via a single random walk. Motivated by the fact that both documents a...
    Zhiyuan Liu, Wenyi Huang, Yabin Zheng, Maosong Sun
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    ACL
    2009
    119views Computational Linguistics» more  ACL 2009»
    Automatic Cost Estimation for Tree Edit Distance Using Particle Swarm Optimization
    13 years 7 months ago
    Automatic Cost Estimation for Tree Edit Distance Using Particle Swarm Optimization
    Download  www.aclweb.org
    Recently, there is a growing interest in working with tree-structured data in different applications and domains such as computational biology and natural language processing. Mor...
    Yashar Mehdad
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    EMNLP
    2009
    124views Natural Language Processing» more  EMNLP 2009»
    On the Role of Lexical Features in Sequence Labeling
    13 years 6 months ago
    On the Role of Lexical Features in Sequence Labeling
    Download  www.aclweb.org
    We use the technique of SVM anchoring to demonstrate that lexical features extracted from a training corpus are not necessary to obtain state of the art results on tasks such as N...
    Yoav Goldberg, Michael Elhadad
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    EMNLP
    2009
    130views Natural Language Processing» more  EMNLP 2009»
    Classifying Relations for Biomedical Named Entity Disambiguation
    13 years 6 months ago
    Classifying Relations for Biomedical Named Entity Disambiguation
    Download  personalpages.manchester.ac.uk
    Named entity disambiguation concerns linking a potentially ambiguous mention of named entity in text to an unambiguous identifier in a standard database. One approach to this task...
    Xinglong Wang, Jun-ichi Tsujii, Sophia Ananiadou
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    EMNLP
    2009
    136views Natural Language Processing» more  EMNLP 2009»
    Reverse Engineering of Tree Kernel Feature Spaces
    13 years 6 months ago
    Reverse Engineering of Tree Kernel Feature Spaces
    Download  www.aclweb.org
    We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
    Daniele Pighin, Alessandro Moschitti
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