首页> 外文会议>Proceedings of the 2007 International Conference on Machine Learning and Cybernetics >TOWARDS AUTO-CONSTRUCTION OF DOMAIN ONTOLOGY: AN AUTO-CONSTRUCTED DOMAIN CONCEPTUAL LEXICON AND ITS APPLICATION TO EXTRACTIVE SUMMARIZATION
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TOWARDS AUTO-CONSTRUCTION OF DOMAIN ONTOLOGY: AN AUTO-CONSTRUCTED DOMAIN CONCEPTUAL LEXICON AND ITS APPLICATION TO EXTRACTIVE SUMMARIZATION

机译:面向域本体的自动构建:一种自动构建的域概念词表及其在抽取摘要中的应用

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A domain conceptual lexicon can be used for the construction of a domain ontology.In this paper, a method of auto-constructing a domain conceptual lexicon is proposed.The conceptual lexicon is represented by WordNet senses and their relations.Using the domain conceptual lexicon, an extractive summarization method is proposed.A characteristic of the scheme is that each sentence of a document is represented by a set of WordNet senses and constitutes a fuzzy transaction for mining conceptual lexicon and ranking relevance.A prototype of this automatic text summarization scheme is built and an intrinsic method with the information-retrieval criteria is used for measuring the summary quality.
机译:领域概念词典可用于领域本体的构建。本文提出了一种自动构建领域概念词典的方法,该概念词典由WordNet语义及其关系表示。该方案的特点是该文档的每个句子由一组WordNet感官表示,并构成了用于挖掘概念词典和排名相关性的模糊事务。使用具有信息检索标准的内在方法来测量摘要质量。

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