Automated Essay Scoring Using Set of Literary Sememes

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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 literary 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.
Original languageEnglish
Pages (from-to)351-357
Number of pages7
JournalInformation-An International Interdisciplinary Journal
Issue number2
StatePublished - Mar 2009
Event IEEE International Conference on Natural Language Processing and Knowledge Engineering - Beijing, China
Duration: 19 Oct 200822 Oct 2008


  • Essay scoring; Writing grading; Semantic analysis; Literary sememes; Chinese writings

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