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dc.contributor.authorLam, Hon
dc.contributor.authorDillon, Tharam S.
dc.contributor.authorChang, Elizabeth
dc.contributor.editorLeila Ismail
dc.contributor.editorElizabeth Chang
dc.contributor.editorAchim P Karduck
dc.date.accessioned2017-01-30T13:16:02Z
dc.date.available2017-01-30T13:16:02Z
dc.date.created2011-02-15T00:34:44Z
dc.date.issued2010
dc.identifier.citationLam, Hon Wai (Sean) and Dillon, Tharam and Chang, Elizabeth. 2010. Towards the use of Semi-structured Annotators for Automated Essay Grading, in Ismail, L. and Chang, E. and Karduck, A.P. (ed), IEEE international conference on digital ecosystems and technologies (DEST 2010), Apr 12 2010, pp. 228-233. Dubai, United Arab Emirates: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/29899
dc.identifier.doi10.1109/DEST.2010.5610643
dc.description.abstract

The amount of time teachers spend grading essays has increased over the past decade, prompting the development of systems that are able to lighten the workload. Many systems have thus far used linear regression or semisupervised methods towards this objective. This paper discusses some of the main Automated Essay Grading systems, highlighting some of their strengths and weaknesses, in addition to providing a brief overview of Text Mining and meta-data annotation techniques that could be used to facilitate the process of grading essays through an automated system.

dc.publisherIEEE
dc.subjectText Mining
dc.subjectNamed Entity Recognition
dc.subjectPart-of-speech Tagging
dc.subjectmeta-data annotation
dc.subjectAutomated Essay Grading
dc.titleTowards the use of Semi-structured Annotators for Automated Essay Grading
dc.typeConference Paper
dcterms.source.startPage228
dcterms.source.endPage233
dcterms.source.titleProceedings of the IEEE international conference on digital ecosystems and technologies (DEST 2010)
dcterms.source.seriesProceedings of the IEEE international conference on digital ecosystems and technologies (DEST 2010)
dcterms.source.isbn9781424455515
dcterms.source.conferenceIEEE international conference on digital ecosystems and technologies (DEST 2010)
dcterms.source.conference-start-dateApr 12 2010
dcterms.source.conferencelocationDubai, United Arab Emirates
dcterms.source.placeUnited Arab Emirates
curtin.note

Copyright © 2010 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusOpen access


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