Sentence Extraction and Rhetorical Classiication for Exible Abstracts

نویسندگان

  • Simone Teufel
  • Marc Moens
چکیده

Knowledge about the discourse-level structure of a sci-entiic article is useful for exible and sub-domain independent automatic abstraction. We are interested in the automatic identiication of content units (\argu-mentative entities") in the source text, such as Goal or Problem Statement, Conclusions and Results. In this paper, we present an extension of Ku-piec et al.'s methodology for trainable statistical sentence extraction (1995). Our extension additionally classiies the extracted sentences according to their argumentative status; because only low-level properties of the sentence are taken into account and no external knowledge sources other than meta-level linguistic ones are used, it achieves robustness and partial domain-independence.

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تاریخ انتشار 1998