The application of linguistic processing to automatic abstract generation
The application of linguistic processing to automatic abstract generation
复制标题
语言处理在自动摘要生成中的应用
DOI：
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发表时间：
1997
期刊：
影响因子：
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通讯作者：
A. Neal
中科院分区：
文献类型：
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作者：
F. Johnson;C. Paice;W. Black;A. Neal
用计算机生成摘要的一种方法是从源文本中提取那些能有力地表明论文中心主题和研究结果的句子。毫不奇怪，连接提取的句子显示缺乏衔接，部分原因是频繁出现的照应参考。本文介绍了文本处理，这是必要的，以确定这些照应，使他们可以利用在增强的句子选择标准。本文认为，含有非照应性名词短语并将关键概念引入文本的句子值得列入摘要。研究结果表明，
概念确实被确定，但摘要太长。进一步的建议，继续这项工作的摘要，利用文本结构。
One approach to the problem of generating abstracts by computer is to extract from a source text those sentences which give a strong indication of the central subject matter and findings of the paper. Not surprisingly, concatenations of extracted sentences show a lack of cohesion, due partly to the frequent occurrence of anaphoric references. This paper describes the text processing which was necessary to identify these anaphors so that they may be utilised in the enhancement of the sentence selection criteria. It is assumed that sentences which contain non-anaphoric nounphrases and introduce key concepts into the text are worthy of inclusion in an abstract. The results suggest that the key
concepts are indeed identified but the abstracts are too long. Further recommendations are made to continue this work in abstracting which makes use of text structure.