Campus Units
English
Document Type
Article
Publication Version
Published Version
Publication Date
2016
Journal or Book Title
CALICO Journal
Volume
33
First Page
1
Last Page
22
Abstract
This paper reports on the development of the analysis engine for the Research Writing Tutor (RWT), an AWE program designed to provide genre and discipline-specific feedback on the functional units of research article discourse. Unlike traditional NLP-based applications that categorize complete documents, RWT’s analyzer categorizes every sentence in the text as both a communicative move and a rhetorical step. We describe the construction of a cascade of two support vector machine classifiers trained on a multi-disciplinary corpus of annotated Introduction texts. This work not only demonstrates the usefulness of NLP for automated genre analysis, but also paves the road for future AWE endeavors and forms of automated feedback that could facilitate construction of functional meaning in writing.
Copyright Owner
CALICO Journal
Copyright Date
2016
Language
en
File Format
application/pdf
Recommended Citation
Cotos, Elena and Pendar, Nick, "Discourse classification into rhetorical functions for AWE feedback" (2016). English Publications. 62.
https://lib.dr.iastate.edu/engl_pubs/62
Included in
Curriculum and Instruction Commons, Educational Assessment, Evaluation, and Research Commons, Educational Methods Commons
Comments
This is an article from CALICO Journal 33 (2016). Posted with permission.