Katsuya Masuda

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This paper introduces a novel framework for the accurate retrieval of relational concepts from huge texts. Prior to retrieval, all sentences are annotated with predicate argument structures and ontological identifiers by applying a deep parser and a term recognizer. During the run time, user requests are converted into queries of region algebra on these(More)
Katsuya Masuda† Takashi Ninomiya†‡ Yusuke Miyao† Tomoko Ohta†‡ Jun’ichi Tsujii†‡ † Department of Computer Science, Graduate School of Information Science and Technology, University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033, Japan ‡ CREST, JST (Japan Science and Technology Corporation) Honcho 4-1-8, Kawaguchi-shi, Saitama 332-0012, Japan(More)
The effects of treating SiO2/Si with either acidic or alkaline solutions on single-layer graphene were investigated using Raman microscopy. It is well-known that in air graphene on SiO2 is unintentionally strained and hole-doped to different degrees, varying widely by sample. It is also known that various amine compounds act as electron donors to graphitic(More)
This paper presents a framework for searching text regions with specifying annotated information in tag-annotated text by using Region Algebra. We extend the efficient algorithm for region algebra to handle both nested and crossed regions and introduce variables for attribute values to treat tag-annotations in which attributes indicate another tag regions.(More)
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