Annotation of Computer Science Papers for Semantic Relation Extrac-tion
Annotation of Computer Science Papers for Semantic Relation Extrac-tion
复制标题
计算机科学论文语义关系提取注释
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Akiko Aizawa
中科院分区：
文献类型：
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作者：
Yuka Tateisi;Yo Shidahara;Yusuke Miyao;Akiko Aizawa
通过对计算机科学论文的研究，我们设计了一种新的注释方案，用于形式化研究论文中的关系结构。该注释方案基于这样的假设，即识别论文中描述的实体和事件的角色对于学术文献中的智能信息检索是有用的，并且角色可以由作者与所描述的实体或事件之间的关系以及它们之间的关系来确定。使用该计划，我们已经注释了日本信息处理学会在日本出版的IPSJ杂志的研究摘要。在标注语料库的基础上，我们开发了一个原型信息抽取系统，该系统具有根据所提到的实体之间的关系对句子进行分类的功能，以帮助用户找到感兴趣的实体的角色。
We designed a new annotation scheme for formalising relation structures in research papers, through the investigation of computer science papers. The annotation scheme is based on the hypothesis that identifying the role of entities and events that are described in a paper is useful for intelligent information retrieval in academic literature, and the role can be determined by the relationship between the author and the described entities or events, and relationships among them. Using the scheme, we have annotated research abstracts from the IPSJ Journal published in Japanese by the Information Processing Society of Japan. On the basis of the annotated corpus, we have developed a prototype information extraction system which has the facility to classify sentences according to the relationship between entities mentioned, to help find the role of the entity in which the searcher is interested.
影响因子：
3
作者：
Kim JD;Ohta T;Tsujii J
通讯作者：
Tsujii J