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Scientific Paper Analysis: Knowledge Discovery through Structural Document Understanding

模式识别学术大讲堂
Advanced Lecture Series in Pattern Recognition
题    目 (TITLE):Scientific Paper Analysis: Knowledge Discovery through Structural Document Understanding
讲 座 人 (SPEAKER):Prof. Yuji Matsumoto, Nara Institute of Science and Technology
主 持 人 (CHAIR):Prof. Chengqing Zong
时    间 (TIME):10:30am December 13(Thursday), 2018
地    点 (VENUE):No.1 Conference Room (3rd Floor), Intelligence Building
报告摘要(ABSTRACT):
In this talk, I will introduce our on-going project of knowledge acquisition and discovery from scholarly documents. Through deepening the text and document analysis technologies necessary for document understanding, this project aims to develop foundations of content understanding of large scale technical documents, integration of acquired knowledge, and semantic similarity at structural levels of contents and documents. In collaboration with the experts in Biological Science, Material Science, Neuroscience, Law, and Artificial Intelligence, we will develop an integrated environment for content-based document retrieval and summarization, knowledge discovery and survey generation from large scale technical documents.
报告人简介(BIOGRAPHY):
Yuji Matsumoto, Currently a Professor of Information Science, Nara Institute of Science and Technology, and the Team Leader of the Knowledge Acquisition Team at Riken AIP (Advanced Intelligence Project). He received his M.S. and Ph.D. degrees in information science from Kyoto University in 1979 and in 1990. He joined Machine Inference Section of Electrotechnical Laboratory in 1979. He has then experienced an associate professor at Kyoto University, then became a professor at Nara Institute of Science and Technology in 1993. He is an ACL fellow and a fellow of Information Processing Society of Japan.

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中科院自动化研究所 模式识别国家重点实验室
NLPR, INSTITUTE OF AUTOMATION, CHNESE ACADEMY OF SCIENCES