TANGO: bilingual collocational concordancer
ACLdemo '04 Proceedings of the ACL 2004 on Interactive poster and demonstration sessions
Using conditional random fields for result identification in biomedical abstracts
Integrated Computer-Aided Engineering
Mining methodologies from NLP publications: A case study in automatic terminology recognition
Computer Speech and Language
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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 Web-based computer-assisted academic writing.