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    IJCNLP
    2004
    Springer
    148views Natural Language Processing» more  IJCNLP 2004»
    Combining Labeled and Unlabeled Data for Learning Cross-Document Structural Relationships
    14 years 11 days ago
    Combining Labeled and Unlabeled Data for Learning Cross-Document Structural Relationships
    Download  clair.si.umich.edu
    Multi-document discourse analysis has emerged with the potential of improving various NLP applications. Based on the newly proposed Cross-document Structure Theory (CST), this pap...
    Zhu Zhang, Dragomir R. Radev
    claim paper
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