This paper introduces a method for computational analysis of move structures in abstracts of research articles. In our approach, sentences in a given abstract are analyzed and labeled with a specific move in light of various rhetorical functions. The method involves automatically gathering a large number of abstracts from the Web and building a language model of abstract moves. We also present a prototype concordancer, CARE, which exploits the move-tagged abstracts for digital learning. This system provides a promising approach to Webbased computer-assisted academic writing.
Wu et al. REF introduces a method for computational analysis of move structures in abstracts of research articles.
Computational Analysis Of Move Structures In Academic Abstracts
International Conference On Computational Linguistics And Annual Meeting Of The Association For Computational Linguistics - Interactive Presentation Sessions
Computer Science