Discourse classification into rhetorical functions for AWE feedback
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The Department of English seeks to provide all university students with the skills of effective communication and critical thinking, as well as imparting knowledge of literature, creative writing, linguistics, speech and technical communication to students within and outside of the department.
History
The Department of English and Speech was formed in 1939 from the merger of the Department of English and the Department of Public Speaking. In 1971 its name changed to the Department of English.
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1939-present
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- Department of English and Speech (1939-1971)
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- College of Liberal Arts and Sciences (parent college)
- Department of English (predecessor, 1898-1939)
- Department of Public Speaking (predecessor, 1898-1939)
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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.
Comments
This is an article from CALICO Journal 33 (2016). Posted with permission.