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Scientific Paper Analysis: JST CREST Project of Big Data Application

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Rapid increase of scientific documents causes difficulty in acquiring up-to-date information even by experts. This talk introduces an overview of the project of scientific document analysis supported by Japan Science and Technology Agency (JST). In collaboration with the experts in Life Science, Material Science, Artificial Intelligence and other areas, we aim to develop an integrated environment for content-based document retrieval, summarization and knowledge extraction by analyzing the contents of large scale documents, and for survey generation.

This talk is part of the Language Technology Lab Seminars series.

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