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A study of usage of symbols and opinionated words in annotation for modeling literature survey experiences

机译:对注释和符号词在注释中建模文献调查经验的研究

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Student enrolled in research based degree programs conduct literature survey to identify and to specify issues which need to be addressed in their domain of interest. They annotate research articles either using symbolic markers such as underline, question mark, circle etc or record their observations, opinion, queries in textual form of comments. These annotations may be recorded either manually using pen/pencil or electronically using any text/word processor tool. These annotations of research scholars are very valuable knowledge resource and are associated with annotators sentiments. Sharing of these resources amongst community of researchers is likely to reduce time taken in literature survey and may foster collaborative research. In this paper, we present the results of our research to identify symbolic markers and opinionated words commonly used in annotating research articles. We have identified eight different types of symbols and a set of opinionated words based on a survey with teachers and graduate students and analysis of manually annotated research papers and comments of reviewers on research article submitted for a conference. To manage these annotations and literature survey experiences of researchers, we propose a model using RDFS (Resource Description Framework Schema). Important resources identified by us include annotation, annotation trace, annotation type, sentiment etc. An annotation trace represents resultant artifacts of literature survey and used to model the experiences associated with it. Each annotation and annotation trace have well defined unique type and specific sentiment orientation and polarity value. Based on above model, we have implemented a tool which facilitates annotation of research articles, management of annotation and annotated research papers and their sharing amongst the peer annotators.
机译:参加基于研究的学位课程的学生进行文献调查,以识别并指定需要在他们感兴趣的领域中解决的问题。他们使用下划线,问号,圆圈等符号标记来注释研究文章,或者以评论的文本形式记录其观察,见解和查询。这些注释可以使用笔/铅笔手动记录,也可以使用任何文本/文字处理器工具以电子方式记录。研究学者的这些注释是非常有价值的知识资源,并且与注释者的情感有关。在研究人员社区之间共享这些资源可能会减少文献调查的时间,并可能促进协作研究。在本文中,我们介绍了我们的研究结果,以识别通常用于对研究文章进行注释的符号标记和带有偏见的单词。我们根据对教师和研究生的调查以及对人工注释的研究论文的分析以及审稿人对提交给会议的研究文章的评论,确定了八种不同类型的符号和一组带词的单词。为了管理这些注释和研究人员的文献调查经验,我们提出了使用RDFS(资源描述框架架构)的模型。我们识别出的重要资源包括注释,注释轨迹,注释类型,情感等。注释轨迹表示文献调查的最终结果,并用于对与之相关的体验进行建模。每个注释和注释迹线都具有定义明确的唯一类型以及特定的情感方向和极性值。在上述模型的基础上,我们实现了一个工具,该工具可促进研究文章的注释,注释和注释研究文件的管理以及在同行注释者之间的共享。

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