References
Baldridge, J., Morton, T., & Bierner, G. (2002). The opennlp maximum entropy package.
Technical report.
Berger, H., & Merkl, D. (2005). A comparison of text-categorization methods applied to
n-gram frequency statistics. In AI 2004: Advances in Artificial Intelligence (pp. 998-
1003). Springer Berlin Heidelberg.
Biber
, D.,
Connor
, U., &
Upton
, T. (
2007
). Discourse on the Move: Using Corpus Analysis
to Describe Discourse Structure. Amsterdam: John Benjamins.
Brett, P. (1994). A genre analysis of the results section of sociology articles. English for
Specific Purposes, 13(1), 47
–
59.
Burstein, J. (2003). The e-rater text registered scoring engine: Automated essay scoring
with natural language processing. In M. D. Shermis & J. Burstein (Eds.), Automated
essay scoring: A cross-disciplinary perspective (pp. 113
–
121). Mahwah, NJ: Lawrence
Erlbaum.
Cheng, B. Y. M., Carbonell, J. G., & Klein
‐
Seetharaman, J. (2005). Protein classification
based on text document classification techniques. Proteins: Structure, Function, and
Bioinformatics, 58(4), 955-970.
Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and
Psychological Measurement, 20, pp. 37
–
46.
Cotos, E. (2012). Towards effective integration and positive impact of automated writing
evaluation in L2 Writing. In G. Kessler, A. Oskoz & I. Elola (Eds.). Technology across
writing contexts and tasks, CALICO Monograph Series, Volume 10 (pp. 81-112). CALICO:
San Marcos, TX.
Cotos, E. (2011). Potential of Automated Writing Evaluation Feedback. CALICO Journal,
28(2), 420
–
459.
Cotos, E., & Huffman, S. (2013). Learner Fit in Scaling Up Automated Writing Evaluation.
International Journal of Computer-Assisted Language Learning and Teaching, 3(3), 77-
98.
Holmes, R. (1997). Genre analysis and the social sciences: An investigation of the
structure of research article discussion sections in three disciplines. English for Specific
Purposes, 16(4), 321
–
337.
Hopkins, A., & Dudley-Evans, T. (1988). A genre-based investigation of the discussion
sections in articles and dissertations. English for Specific Purposes, 7(2), 113
–
121.
Hyland, K. (2000). Disciplinary discourses. Longman.
Joachims, T. (1998). Text categorization with support vector machines: Learning with
many relevant features. Machine learning: ECML-98, 137
–
142.
Kibriya, A. M., Frank, E., Pfahringer, B., & Holmes, G. (2005). Multinomial naive bayes for
text categorization revisited. In AI 2004: Advances in Artificial Intelligence (pp. 488-
499). Springer Berlin Heidelberg.
Lam, L., & Suen, C. Y. (1995). Optimal combinations of pattern classifiers. Pattern
Recognition Letters, 16(9), 945-954.
-123-
2014 CALL Conference
LINGUAPOLIS
www.antwerpcall.be
Nigam, K., Lafferty, J., & McCallum, A. (1999). Using maximum entropy for text
classification. In IJCAI-99 workshop on machine learning for information filtering (Vol. 1,
pp. 61-67).
Ozturk, I. (2007). The textual organization of research article introductions in applied
linguistics: Variability within a single discipline. English for Specific Purposes, 26(1), 25
–
38.
Pendar, N., & Cotos, E. (2008). Automatic identification of discourse moves in scientific
article introductions. In EANL
’08 Proceedings of the Third Workshop on Innovative Use of
NLP for Building Educational Applications (pp. 62
–
70). Association for Computational
Linguistics. Stroudsburg, PA, USA.
Samraj, B. (2005). An exploration of a genre set: Research article abstracts and
introductions in two disciplines. English for specific purposes, 24(2), 141
–
156.
Sebastiani, F. (2002). Machine Learning in automated text categorization. ACM
Computing Surveys, 34, 1-47.
Swales, J. (1981). Aspects of article introductions. Language Studies Unit, University of
Aston in Birmingham.
Swales, J. (1990). Genre Analysis: English in Academic and Research Settings:
Cambridge Applied Linguistics. Cambridge University Press.
Swales, J. M. (2004). Research genres: Explorations and applications. Ernst Klett
Sprachen.
Swales, J., & Najjar, H. (1987). The writing of research article introductions. Written
Communication, 4(2), 175
–
191.
Williams, I. A. (1999). Results Sections of Medical Research Articles:: Analysis of
Rhetorical Categories for Pedagogical Purposes. English for Specific Purposes, 18(4),
347
–
366.
Xuegong, Z. (2000). Introduction to statistical learning theory and support vector
machines. Acta Automatica Sinica, 26(1), 32-42.
-124-
2014 CALL Conference
LINGUAPOLIS
www.antwerpcall.be
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