Browsing by Author "Tam, Hak-Ping"

Now showing 1 - 3 of 3

Automated Essay Scoring Using Set of Literary Sememes
(2009-03-01)
Chang, Tao-Hsing
;
Tsai, Pei-Yen
;
Lee, Chia-Hoang
;
Tam, Hak-Ping
;
資訊工程學系
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.
Automated Essay Scoring Using Set of Literary Sememes
(2008)
Chang, Tao-Hsing
;
Lee, Chia-Hoang
;
Tsai, Pei-Yen
;
Tam, Hak-Ping
;
資訊工程學系
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.
Corpus-based Subtopic Segmentation Using Concept Segment Method
(2010-05-01)
Chang, Tao-Hsing
;
Lee, Chia-Hoang
;
Tam, Hak-Ping
;
資訊工程學系
;
Department of Computer Science
Many studies on topic segmentation have been launched in the past, but these previous methods performed poorly on domain-specific short texts. This paper will propose a method which employs high-level concepts on concept hierarchy to predict the number and location of subtopics in a short text, and then determine the boundary between subtopics using similarity measures. Experimental results show that the proposed method can greatly increase the accuracy of subtopic segmentation for domain-specific short texts.