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Extracting sentences recommended to annotate for understanding writer's opinions in a document

机译:提取建议注释的句子,以理解文档中的作者的观点

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When reading documents, people often find writer's opinions in documents which are new information for people. Annotation is known as a quite powerful method to find such information. Making annotation on documents, however, is a hard work because people need to read documents very carefully to think which sentences in documents can be annotated. People spent much time for choosing sentences and thinking what annotations they make on sentences. If people are automatically given sentences recommended to make annotations on, people can make annotations on documents easily with shaving off time. New methods for recommending sentences which can be made annotations on are required. This paper proposes an extraction method of sentences recommended to make annotations on for understanding writer's opinions in a document. The method extracts sentences including writer's opinions by evaluating words included in sentences. If a sentence includes words used for showing writer's opinions, the method extracts the sentence to recommend users to make annotations on. Users of the proposed method can understand writer's opinions deeply by reading a document and making annotations on the extracted sentences. We experimented with the proposed method and verified that the proposed method can extract sentences which are made annotations on by participants for understanding writer's opinions deeply.
机译:在阅读文档时,人们经常在文档中找到作者的意见,这对人们来说是新的信息。注释是查找此类信息的一种非常有效的方法。但是,在文档上进行批注是一项艰巨的工作,因为人们需要非常仔细地阅读文档以考虑文档中哪些句子可以被注解。人们花费大量时间来选择句子并思考他们对句子进行的注释。如果自动为人们提供推荐的句子以做注释,则人们可以节省时间轻松地在文档上做注释。需要一种新的方法来推荐可以在其上添加注释的句子。本文提出了一种句子的提取方法,建议对句子进行注释,以便在文档中理解作者的观点。该方法通过评估句子中包括的单词来提取包括作者的观点的句子。如果句子中包含用于表达作者观点的单词,则该方法提取该句子以推荐用户在其上进行注释。该方法的用户可以通过阅读文档并在提取的句子上做注释来深入了解作者的观点。我们对提出的方法进行了实验,并验证了该方法能够提取句子,并在参与者的注释上进行注释,以加深对作者观点的理解。

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