TOPIC Essentials

TOPIC Essentials
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主题要点

DOI:
10.3115/991365.991512
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发表时间:
1986
期刊:
International Conference on Computational Linguistics
影响因子:
--
通讯作者:
U. Reimer
U. Reimer
中科院分区:
--
文献类型:
--
作者:
U. Hahn;U. Reimer

文献摘要

被引文献

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概述了TOPIC,一个基于知识的文本信息系统的德语文本分析。主题提供文本浓缩(摘要)的不同程度的一般性,并提供事实获得的文本。该演示文稿的重点是主要的方法论原则的设计主题:一个框架表示模型,包括各种完整性的约束,文本分析,重点放在文本的衔接和文本连贯性的属性,一个词汇分布的语义文本语法的格式的单词专家,模型的部分文本分析,和文本图作为适当的表示结构的文本压缩。
An overview of TOPIC is provided, a knowledge-based text information system for the analysis of German-language texts. TOPIC supplies text condensates (summaries) on variable degrees of generality and makes available facts acquired from the texts. The presentation focuses on the major methodological principles underlying the design of TOPIC: a frame representation model that incorporates various integrity constraints, text parsing with focus on text cohesion and text coherence properties of expository texts, a lexically distributed semantic text grammar in the format of word experts, a model of partial text parsing, and text graphs as appropriate representation structures for text condensates.