Title of article
Finding the WRITE stuff: automatic identification of discourse structure in student essays
Author/Authors
K.، Knight, نويسنده , , J.، Burstein, نويسنده , , D.، Marcu, نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2003
Pages
-31
From page
32
To page
0
Abstract
An essay-based discourse analysis system can help students improve their writing by identifying relevant essay-based discourse elements in their essays. Our discourse analysis software, which is embedded in Criterion, an online essay evaluation application, uses machine learning to identify discourse elements in student essays. The system makes decisions that exemplify how teachers perform this task. For instance, when grading student essays, teachers comment on the discourse structure. Teachers might explicitly state that the essay lacks a thesis statement or that an essayʹs single main idea has insufficient support. Training the systems to model this behavior requires human judges to annotate a data sample of student essays. The annotation schema reflects the highly structured discourse of genres such as persuasive writing. Our discourse analysis system uses a voting algorithm that takes into account the discourse labeling decisions of three independent systems.
Keywords
Hydrograph
Journal title
IEEE INTELLIGENT SYSTEMS
Serial Year
2003
Journal title
IEEE INTELLIGENT SYSTEMS
Record number
105507
Link To Document