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Mid-depth Text Understanding by Abductive Chains for Topic Sentence Selection

作     者:JAE-HAK J. BAE JONG-HYEOK LEE 

作者机构:School of Computer Engineering and Information Technology University of Ulsan Ulsan 680-749 Republic of Korea Department Computer Science and Engineering Electrical and Computer Engineering Division Pohang University of Science and Technology (POSTECH) and Advanced Information Technology Research Center (AlTrc) Pohang Kyeongbuk 790-784 Republic of Korea 

出 版 物:《International Journal of Computer Processing of Languages》 

年 卷 期:2002年第15卷第3期

页      面:341-357页

学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

主  题:Topic Sentence Selection Sentence Abstraction Abductive Chains Text Summarization Text Understanding 

摘      要:This paper introduces a mid-depth text understanding methodology. By mid-depth we mean that the methodology is: (1) based on shallow text understanding, (2) accomplished with currently available linguistic instruments, and (3) focused towards understanding texts as deeply as possible. To realize the methodology, we set up two new linguistic devices for sentence extraction — sentence abstraction and abductive chains. Sentence abstraction is processing for sentence revision with concept abstraction. Abductive chains are lexical chains with abduction. The chain consists of abductive links which connect coherent parts of abstracted sentences. It aims to identify the causal propensity described or implied in the text as well as to delineate its recurring concepts. With this methodology, a preliminary attempt at mid-depth text understanding is made to locate the topic sentences of a given text. We expect that this methodology will lead us to develop another practical text summarization system.

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