Abstract
In research the related activities, such as searching, reading, and managing papers are important parts of the investigation process in both the pre-stage and post-stage of research. The number of academic papers, related in some way to a research topic, is large. It is difficult to read them completely from beginning to end. There are various types of comprehension by which we understand papers, so as to be appropriate to the research objective. In one case, it may be useful even if the abstractly summarized story should be grasped; and in the other case it may be necessary to understand them in detail.
Here, we propose an automatic extraction process of sentences which are related to figures effectively since the sentences explain the corresponding figures. This method is based on our experience. In many cases figures serve important roles to explain papers successfully. Our research objective is to introduce a weight propagation mechanism which is then applied to words and sentences between repeatedly processes such as “estimation of word importance” and “update of sentence weight.”
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Takeshima, R., Watanabe, T. (2012). The Extraction of Figure-Related Sentences to Effectively Understand Figures. In: Watanabe, T., Jain, L.C. (eds) Innovations in Intelligent Machines – 2. Studies in Computational Intelligence, vol 376. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23190-2_2
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DOI: https://doi.org/10.1007/978-3-642-23190-2_2
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