自动生成EM的标题

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2000-06-01 DOI:10.1145/336597.336670

Paul E. Kennedy, Alexander Hauptmann

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引用次数: 11

摘要

我们的原型自动标题生成系统受到统计机器翻译方法[1]的启发，将文档标题视为文档的翻译。无需从文档中提取单词就可以生成标题。训练标题“翻译”模型需要大量具有人工分配标题的文档语料库。在f1评估分数上，我们的方法优于另一种基于贝叶斯概率估计的方法[7]。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Automatic title generation for EM

Our prototype automatic title generation system inspired by statistical machine-translation approaches [1] treats the document title like a translation of the document. Titles can be generated without extracting words from the document. A large corpus of documents with human-assigned titles is required for training title "translation" models. On an f1 evaluation score our approach outperformed another approach based on Bayesian probability estimates [7].

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.