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篇名
Analyzing the Complexity of a Domain With Respect To An Information Extraction Task
作者 Amit Bagga (Amit Bagga)Alan W. Biermann (Alan W. Biermann)
英文摘要
In this paper we describe a method of classifying facts (information) into categories or levels; where each level signifies a different degree of difficulty of extracting the fact from a piece of text containing it. Based on this classification mechanism, we also propose a method of evaluating a domain by assigning to it a 'domain number' based on the levels of a set of standard facts present in the articles of that domain. In addition, we undertake two studies. The first study evaluates the effect of levels on the performance of message understanding systems while the second evaluates the effect of discourse processing, specifically coreferencing, on the performance of message understanding systems.
起訖頁 175-194
刊名 ROCLING論文集  
期數 1997 (1997期)
出版單位 國立高雄師範大學輔導與諮商研究所
該期刊-上一篇 Unknown Word Detection for Chinese by a Corpus-based Learning Method
該期刊-下一篇 Human Judgment as a Basis for Evaluation of Discourse-Connective-based Full-text Abstraction in Chinese
 

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