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    » Boosting for Text Classification with Semantic Features
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    EMNLP
    2008
    127views Natural Language Processing» more  EMNLP 2008»
    Improving Chinese Semantic Role Classification with Hierarchical Feature Selection Strategy
    13 years 6 months ago
    Improving Chinese Semantic Role Classification with Hierarchical Feature Selection Strategy
    Download  www.aclweb.org
    In recent years, with the development of Chinese semantically annotated corpus, such as Chinese Proposition Bank and Normalization Bank, the Chinese semantic role labeling (SRL) t...
    Weiwei Ding, Baobao Chang
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    EMNLP
    2009
    169views Natural Language Processing» more  EMNLP 2009»
    Accurate Semantic Class Classifier for Coreference Resolution
    13 years 2 months ago
    Accurate Semantic Class Classifier for Coreference Resolution
    Download  www.aclweb.org
    There have been considerable attempts to incorporate semantic knowledge into coreference resolution systems: different knowledge sources such as WordNet and Wikipedia have been us...
    Zhiheng Huang, Guangping Zeng, Weiqun Xu, Asli &Cc...
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    COLING
    2008
    156views Computational Linguistics» more  COLING 2008»
    The Choice of Features for Classification of Verbs in Biomedical Texts
    13 years 6 months ago
    The Choice of Features for Classification of Verbs in Biomedical Texts
    Download  www.cl.cam.ac.uk
    We conduct large-scale experiments to investigate optimal features for classification of verbs in biomedical texts. We introduce a range of feature sets and associated extraction ...
    Anna Korhonen, Yuval Krymolowski, Nigel Collier
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    NIPS
    2004
    162views Information Technology» more  NIPS 2004»
    An Application of Boosting to Graph Classification
    13 years 6 months ago
    An Application of Boosting to Graph Classification
    Download  books.nips.cc
    This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
    Taku Kudo, Eisaku Maeda, Yuji Matsumoto
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    ICML
    1999
    IEEE
    195views Machine Learning» more  ICML 1999»
    Feature Engineering for Text Classification
    13 years 9 months ago
    Feature Engineering for Text Classification
    Download  gking.harvard.edu
    Most research in text classification to date has used a “bag of words” representation in which each feature corresponds to a single word. This paper examines some alternative ...
    Sam Scott, Stan Matwin
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