Yu Hong, Agarwal Shashank, Frid Nadya
University of Wisconsin-Milwaukee.
Proceedings (IEEE Int Conf Bioinformatics Biomed). 2009 Nov 1;1-4 Nov(2009):308-313. doi: 10.1109/BIBMW.2009.5332080.
Citations are ubiquitous in scientific articles and play important roles for representing the semantic content of a full-text biomedical article. In this work, we manually examined full-text biomedical articles to analyze the semantic content of citations in full-text biomedical articles. After developing a citation relation schema and annotation guideline, our pilot annotation results show an overall agreement of 0.71, and here we report on the research challenges and the lessons we've learned while trying to overcome them. Our work is a first step toward automatic citation classification in full-text biomedical articles, which may contribute to many text mining tasks, including information retrieval, extraction, summarization, and question answering.
参考文献在科学文章中无处不在，对于呈现全文生物医学文章的语义内容起着重要作用。在这项工作中，我们人工审阅了全文生物医学文章，以分析全文生物医学文章中参考文献的语义内容。在制定了参考文献关系模式和注释指南之后，我们的试点注释结果显示总体一致性为0.71，在此我们报告在试图克服这些问题时所面临的研究挑战以及吸取的经验教训。我们的工作是朝着全文生物医学文章自动参考文献分类迈出的第一步，这可能有助于许多文本挖掘任务，包括信息检索、提取、摘要和问答。
