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      The Structure Function of Academic Text and Its Classification

      Lu Wei;Huang Yong;Cheng Qikai;Center for Studies of Information Resources,Wuhan University;  
      The current academic text mining research is mostly based on the word,the window and the full text.It ignors the internal structure,leading to a lot of ambiguity problems.In view of the current lack of research,this paper puts forward a kind of framework that gives definition about the structure function of the research papers' chapter.On this basis,from three different levels(based on the section headers,based on the section content and header,based on the paragraph) the automatic classification problem of structure function is discussed,and from the first level(based on the section header) by adopting the combination of vocabulary and sequence tagging method the automatic classification experiment of structure function is conducted,the satisfactory results have been achieved.
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