Presentation 2018-09-07
Extraction of causal information belong to business segments from securities reports
Kaito Takano, Hiroyuki Sakai, Ryozo Kitajima,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this research, we propose a method of extracting business segments from securities reports and extracting sentences including causal information concerning business performance for each extracted business segments. For example, our method extracts “Sales of digital cameras remained steady as markets shrank, with firm sales of new products stuck firmly in Europe, the US and Japan.” as a sentence including causal information concerning business performance and estimates that the business segment to which it belongs is the "imaging system business unit".
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Causal information / Securities reports / Text mining / Information extraction
Paper # NLC2018-28
Date of Issue 2018-08-30 (NLC)

Conference Information
Committee NLC / IPSJ-DC
Conference Date 2018/9/6(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Seikei University
Topics (in Japanese) (See Japanese page)
Topics (in English) The Thirteenth Text Analytics Symposium
Chair Takeshi Sakaki(Hottolink) / Michiko Oba(Hitachi)
Vice Chair Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Kazutaka Shimada(Kyushu Inst. of Tech.)
Secretary Mitsuo Yoshida(Ryukoku Univ.) / Kazutaka Shimada(NTT) / (Kyushu Univ.)
Assistant Takeshi Kobayakawa(NHK) / Hiroki Sakaji(Univ. of Tokyo)

Paper Information
Registration To Technical Committee on Natural Language Understanding and Models of Communication / Special Interest Group on Document Communication
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Extraction of causal information belong to business segments from securities reports
Sub Title (in English)
Keyword(1) Causal information
Keyword(2) Securities reports
Keyword(3) Text mining
Keyword(4) Information extraction
1st Author's Name Kaito Takano
1st Author's Affiliation Seikei University(Seikei Univ.)
2nd Author's Name Hiroyuki Sakai
2nd Author's Affiliation Seikei University(Seikei Univ.)
3rd Author's Name Ryozo Kitajima
3rd Author's Affiliation Seikei University(Seikei Univ.)
Date 2018-09-07
Paper # NLC2018-28
Volume (vol) vol.118
Number (no) NLC-210
Page pp.pp.109-112(NLC),
#Pages 4
Date of Issue 2018-08-30 (NLC)