JICCE (한국정보통신학회)
Current Result Document : 7 / 8
| 한글제목(Korean Title) |
Conceptual Graph Matching Method for Reading Comprehension Tests |
| 영문제목(English Title) |
Conceptual Graph Matching Method for Reading Comprehension Tests |
| 저자(Author) |
Zhi-Chang Zhang
Yu Zhang
Ting Liu
Sheng Li
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| 원문수록처(Citation) |
VOL 07 NO. 04 PP. 0419 ~ 0430 (2009. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Reading comprehension (RC) systems are to understand a given text and return answers in response to questions about the text. Many previous studies extract sentences that are the most similar to questions as answers. However, texts for RC tests are generally short and facts about an event or entity are often expressed in multiple sentences. The answers for some questions might be indirectly presented in the sentences having few overlapping words with the questions. This paper proposes a conceptual graph matching method towards RC tests to extract answer strings. The method first represents the text and questions as conceptual graphs, and then extracts sub-graphs for every candidate answer concept from the text graph. All candidate answer concepts will be scored and ranked according to the matching similarity between their sub-graphs and question graph. The top one will be returned as answer seed to form a concise answer string. Since the sub-graphs for candidate answer concepts are not restricted to only covering a single sentence, our approach improved the performance of answer extraction on the Remedia test data. |
| 키워드(Keyword) |
Reading comprehension
Conceptual graph
Candidate answer concept
Answer extraction
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| 파일첨부 |
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