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首页> 外文期刊>Frontiers in Research Metrics and Analytics >The NLP4NLP Corpus (II): 50 Years of Research in Speech and Language Processing
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The NLP4NLP Corpus (II): 50 Years of Research in Speech and Language Processing

机译:NLP4NLP语料库(II):50年来语音和语言处理研究

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The NLP4NLP corpus contains articles published in 34 major conferences and journals in the field of speech and natural language processing over a period of 50 years (1965-2015), comprising 65,000 documents, gathering 50,000 authors, including 325,000 references and representing approximately 270 million words. This paper presents an analysis of this corpus regarding the evolution of the research topics, with the identification of the authors who introduced them and of the publication where they were first presented, and the detection of epistemological ruptures. Linking the metadata, the paper content and the references allowed us to propose a measure of innovation for the research topics, the authors and the publications. In addition, it allowed us to study the use of language resources, in the framework of the paradigm shift between knowledge-based approaches and content-based approaches, and the reuse of articles and plagiarism between sources over time. Numerous manual corrections were necessary, which demonstrated the importance of establishing standards for uniquely identifying authors, articles, resources or publications.
机译:NLP4NLP语料库包含在过去50年(1965-2015年)内在语音和自然语言处理领域的34个主要会议和期刊上发表的文章,包括65,000个文档,收集50,000位作者,包括325,000个参考文献,代表大约2.7亿个单词。本文介绍了该语料库在研究主题演变方面的分析,并确定了介绍这些主题的作者和首次提出该文献的出版物,以及认识论破裂的发现。通过链接元数据,论文内容和参考文献,我们可以针对研究主题,作者和出版物提出创新措施。此外,它使我们能够在基于知识的方法与基于内容的方法之间的范式转换的框架内研究语言资源的使用,以及随着时间的推移在源之间重复使用文章和窃。必须进行大量的手动更正,这表明建立标准以唯一标识作者,文章,资源或出版物的重要性。

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