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Titlebook: New Frontiers in Artificial Intelligence; JSAI-isAI 2018 Works Kazuhiro Kojima,Maki Sakamoto,Ken Satoh Conference proceedings 2019 Springer

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发表于 2025-3-21 19:20:48 | 显示全部楼层 |阅读模式
书目名称New Frontiers in Artificial Intelligence
副标题JSAI-isAI 2018 Works
编辑Kazuhiro Kojima,Maki Sakamoto,Ken Satoh
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: New Frontiers in Artificial Intelligence; JSAI-isAI 2018 Works Kazuhiro Kojima,Maki Sakamoto,Ken Satoh Conference proceedings 2019 Springer
描述.This book constitutes extended, revised, and selected papers from the 10th International Symposium of Artificial Intelligence supported by the Japanese Society for Artificial Intelligence, JSAI-isAI 2018. It was held in November 2018 in Yokohama, Japan. The 28 paper full papers and 5 short papers were carefully selected from 97 submissions...The papers selected cover topics in Artificial Intelligence, such as AI and law, business intelligence, human intelligence, logic and engineering, and data analytics and applications..
出版日期Conference proceedings 2019
关键词argumentation; artificial intelligence; computational linguistics; image analysis; image reconstruction;
版次1
doihttps://doi.org/10.1007/978-3-030-31605-1
isbn_softcover978-3-030-31604-4
isbn_ebook978-3-030-31605-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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0302-9743 the Japanese Society for Artificial Intelligence, JSAI-isAI 2018. It was held in November 2018 in Yokohama, Japan. The 28 paper full papers and 5 short papers were carefully selected from 97 submissions...The papers selected cover topics in Artificial Intelligence, such as AI and law, business intel
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Capturing Corporate Attributes in a New Perspective Through Fuzzy Clusteringabsolute prediction error (APE). As the result, we present that there is a possibility that we are able to represent one company with overlapping industry, so to speak, assign one company more than two industries.
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An Empirical Evaluation of AMR Parsing for Legal Documents We conduct experiments of different AMR parsers on our annotated dataset extracted from the English version of Japanese Civil Code. Our results show the limitations as well as open a room for improvements of current parsing techniques when applying in this non-trivial domain.
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Conference proceedings 2019ere carefully selected from 97 submissions...The papers selected cover topics in Artificial Intelligence, such as AI and law, business intelligence, human intelligence, logic and engineering, and data analytics and applications..
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