A novel technique for automated linguistic quality assessment of students' essays using automatic summarizers

2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009

Volumn 5, Issue , 2009, Pages 144-148

  Latif, Seemab ^a   Wood, Mary McGee ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SUMMARIZATION; HUMAN ASSESSORS; NOVEL TECHNIQUES; QUALITY ASSESSMENT; STRONG CORRELATION;

COMPUTER SCIENCE; LINGUISTICS;

AUTOMATION;

EID: 71049135331     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSIE.2009.777     Document Type: Conference Paper

References (6)

1. H. H. Huang, Y.-H. Kuo, and H.-C. Yang. Fuzzy-rough set aided sentence extraction summarization. In ICICIC '06: Proceedings of the First International Conference on Innovative Computing, Information and Control, pages 450-453, Washington, DC, USA, 2006. IEEE Computer Society.
2. S. Latif. Text pre-processing for document clustering. In proceedings of the 11th Annual CLUK Research Colloquium, The UK special-interest group for computational linguistics, Oxford University Computing Laboratory, 2008.
3. S. Latif and M. Wood. Text pre-processing for document clustering. In Proceedings of 13th International Conference on Natural Language and Information Systems, Lecture Notes in Computer Science, pages 358-359, 2008.
4. C. Y. Lin. Rouge: A package for automatic evaluation of summaries. In proceedings of the ACL-04 Workshop: Text Summarization Branches Out, pages 74-81, 2004.
5. J. M.Conroy and H. T. Dang. Mind the gap: Dangers of divorcing evaluations of summary content from linguistic quality. In proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008), pages 145-152, 2008.
6. C. Sherrard. Teaching students to summarize: Applying text linguistics. In Systems, volume 17(1), pages 1-11, 1989.