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framework than RST ( for both
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text generation and understanding
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) . 4 Equivalence between logical
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potential applications in both
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text generation and understanding
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. 1 Introduction Assuming that
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following two subsections will show ,
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text generation and understanding
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have quite different preferences
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lexicon of discourse markers for
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text generation and understanding
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</title> Manfred Stede Carla
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reader as well as for automatic
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text generation and understanding
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are derived . Our case study
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cross-referencing . Similarly ,
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text generation and understanding
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systems are on the one hand written
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