Abstract
This paper presents an automatic critiquer of Computer Science Abstracts in Portuguese, which formulates critiques and/or suggestions of improvement based on automatic argumentative structure recognition. The recognition is performed by an statistical classifier, similar to Teufel and Moens’s Argumentative Zoning (AZ) [1], but ported to work on Portuguese abstracts. The critiques and suggestions made by the system come from a set of fixed critiquing rules based on corpus observations and guidelines for good writing from the literature. Here we describe the overall system and report on the AZ porting exercise, its intrinsic evaluation and application in the critiquer.
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Feltrim, V.D., Pelizzoni, J.M., Teufel, S., das Graças Volpe Nunes, M., Aluísio, S.M. (2004). Applying Argumentative Zoning in an Automatic Critiquer of Academic Writing. In: Bazzan, A.L.C., Labidi, S. (eds) Advances in Artificial Intelligence – SBIA 2004. SBIA 2004. Lecture Notes in Computer Science(), vol 3171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28645-5_22
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DOI: https://doi.org/10.1007/978-3-540-28645-5_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23237-7
Online ISBN: 978-3-540-28645-5
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