A three-way perspective on scientific discourse annotation for knowledge extraction

A three-way perspective on scientific discourse annotation for knowledge extraction
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用于知识提取的科学话语注释的三向视角

DOI:
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发表时间:
2012
期刊:
Annual Meeting of the Association for Computational Linguistics
影响因子:
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通讯作者:
S. Ananiadou
S. Ananiadou
中科院分区:
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文献类型:
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作者:
Maria Liakata;Paul Thompson;Anita de Waard;R. Nawaz;H. Pander Maat;S. Ananiadou

文献摘要

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本文从三方面探讨了科学文献话语注释问题。我们使用三种不同的方案,每个方案都侧重于科学文章中话语的不同方面,对三篇全文论文的语料库进行注释,并比较结果。一种方案寻求在句子层面确定科学研究的核心组成部分,第二种方案注释与生物事件有关的元知识,第三种方案考虑如何在子句层面传达认知知识。我们提出了我们的比较分析,并讨论了每个方案的贡献。
This paper presents a three-way perspective on the annotation of discourse in scientific literature. We use three different schemes, each of which focusses on different aspects of discourse in scientific articles, to annotate a corpus of three full-text papers, and compare the results. One scheme seeks to identify the core components of scientific investigations at the sentence level, a second annotates meta-knowledge pertaining to bio-events and a third considers how epistemic knowledge is conveyed at the clause level. We present our analysis of the comparison, and a discussion of the contributions of each scheme.