Towards the use of Semi-structured Annotators for Automated Essay Grading
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 A...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE
2010
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/29899 |
| _version_ | 1848752933345165312 |
|---|---|
| author | Lam, Hon Dillon, Tharam S. Chang, Elizabeth |
| author2 | Leila Ismail |
| author_facet | Leila Ismail Lam, Hon Dillon, Tharam S. Chang, Elizabeth |
| author_sort | Lam, Hon |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T08:16:29Z |
| format | Conference Paper |
| id | curtin-20.500.11937-29899 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:16:29Z |
| publishDate | 2010 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-298992023-01-13T07:56:32Z Towards the use of Semi-structured Annotators for Automated Essay Grading Lam, Hon Dillon, Tharam S. Chang, Elizabeth Leila Ismail Elizabeth Chang Achim P Karduck Text Mining Named Entity Recognition Part-of-speech Tagging meta-data annotation Automated Essay Grading 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. 2010 Conference Paper http://hdl.handle.net/20.500.11937/29899 10.1109/DEST.2010.5610643 IEEE fulltext |
| spellingShingle | Text Mining Named Entity Recognition Part-of-speech Tagging meta-data annotation Automated Essay Grading Lam, Hon Dillon, Tharam S. Chang, Elizabeth Towards the use of Semi-structured Annotators for Automated Essay Grading |
| title | Towards the use of Semi-structured Annotators for Automated Essay Grading |
| title_full | Towards the use of Semi-structured Annotators for Automated Essay Grading |
| title_fullStr | Towards the use of Semi-structured Annotators for Automated Essay Grading |
| title_full_unstemmed | Towards the use of Semi-structured Annotators for Automated Essay Grading |
| title_short | Towards the use of Semi-structured Annotators for Automated Essay Grading |
| title_sort | towards the use of semi-structured annotators for automated essay grading |
| topic | Text Mining Named Entity Recognition Part-of-speech Tagging meta-data annotation Automated Essay Grading |
| url | http://hdl.handle.net/20.500.11937/29899 |