Automated Essay Scoring Using Set of Literary Sememes

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

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.
Original languageEnglish
Title of host publicationIEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING
PublisherIEEE
Pages403-+
ISBN (Print)9781424427796
DOIs
StatePublished - 19 Oct 2008
Event IEEE International Conference on Natural Language Processing and Knowledge Engineering - Beijing, China
Duration: 19 Oct 200822 Oct 2008

Conference

Conference IEEE International Conference on Natural Language Processing and Knowledge Engineering
CountryChina
CityBeijing
Period19/10/0822/10/08

Keywords

  • Essay scoring; writing grading; semantic analysis; literary sememes; Chinese writings

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