Finding The WRITE Stuff : Identification of Discourse Structure in Student Essays  

Oleh:

Burstein, J. ; Marcu, D. ; Knight, K.

Jenis: Article from Bulletin/Magazine
Dalam koleksi: IEEE Intelligent Systems vol. 18 no. 1 (2003), page 32-39.
Topik: Identification; WRITE Stuff; identification; structure; student essays

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II60.6 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

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 essay's single main idea has insufficient support. Training the systems to model this behaviour 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.

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