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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLC 2023-09-07
16:20		 Osaka Osaka Metropolitan University. Nakamozu Campus.
(Primary: On-site, Secondary: Online)		 Estimation of sentence boundaries in texts on business performance
Kaito Takano, Kei Nakagawa (NAM), Hiroyuki Sakai (Seikei Univ.) NLC2023-13		 In order to maintain a healthy market for financial instruments, listed companies are required to disclose corporate inf... [more] NLC2023-13
pp.69-74
NLC 2022-09-13
15:30		 Kanagawa Keio Univ. Yagami Campus.
(Primary: On-site, Secondary: Online)		 Extraction of sentences representing company-specific competitive advantages from integrated reports
Yuta Sugawara, Hiroyuki Sakai, Kengo Enami (Seikei), Kaito Takano, Kei Nakagawa (Nomura Asset Management) NLC2022-7		 In this research, we propose a method for extracting sentences representing company-specific competitive advantages from... [more] NLC2022-7
pp.13-18
NLC 2020-09-10
10:05		 Online Online Extraction of medical technology sentences from the Faculty of Medicine Websites
Yuta Sugawara, Kaito Takano, Hiroyuki Sakai (Seikei) NLC2020-2		 In this research, we propose a method for extracting sentences including medical technology form the faculty of medicine... [more] NLC2020-2
pp.7-10
NLC, IPSJ-DC 2019-09-27
11:25		 Tokyo Future Corporation Automatic Extraction of Similar Cases by Using Legal Cases Text Data
Ryosuke Seki, Kaito Takano, Hiroyuki Sakai, Ryozo Kitajima (Seikei Univ.) NLC2019-10		 The legal cases are the judicial precedents that the concrete cases shown by court in trials. It is difficult to grasp a... [more] NLC2019-10
pp.13-17
NLC, IPSJ-DC 2018-09-07
17:40		 Tokyo Seikei University Extraction of causal information belong to business segments from securities reports
Kaito Takano, Hiroyuki Sakai, Ryozo Kitajima (Seikei Univ.) NLC2018-28		 In this research, we propose a method of extracting business segments from securities reports and extracting sentences i... [more] NLC2018-28
pp.109-112
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