Automated essay scoring using set of literary sememes

Tao Hsing Chang, Chia Hoang Lee, Pei Yen Tsai, Hak-Ping Tam

研究成果: 書貢獻/報告類型會議論文篇章

7 引文 斯高帕斯(Scopus)

摘要

Automatic essay scoring system is a very important research tool for many educational studies. Many researches indicate that AES systems should be able to analyze semantic characteristics of an essay and include more such features to score essays. This paper makes an assumption: some concepts that can be regarded as literary concepts would only be utilized by skillful writers. However, it is a difficult task to extract literal concepts due to small size of training corpora. This work uses a semantic network tool to overcome the problem. The concepts in essays can be transformed into sememes using the tool and literary concepts are also transformed into literary sememes. This work introduces a method which makes use of the literary sememes in an essay to score the essay. Experimental results show that the accuracy of the proposed method for Chinese essays is comparable to those as achieved by several current English AES systems.

原文英語
主出版物標題2008 International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2008
DOIs
出版狀態已發佈 - 2008 十二月 1
事件2008 International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2008 - Beijing, 中国
持續時間: 2008 十月 192008 十月 22

出版系列

名字2008 International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2008

其他

其他2008 International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2008
國家/地區中国
城市Beijing
期間2008/10/192008/10/22

ASJC Scopus subject areas

  • 人工智慧
  • 軟體

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