Presentation 2016-09-09
Named entity recognition for office documents with Pre-trained Hidden-Unit CRF
Seiji Suzuki, Tomoko Ohkuma, Motoki Taniguchi,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # NLC2016-22
Date of Issue 2016-09-01 (NLC)

Conference Information
Committee NLC
Conference Date 2016/9/8(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Convention Room AP Shibuya-Dogenzaka (Tokyo)
Topics (in Japanese) (See Japanese page)
Topics (in English) The Ninth Text Mining Symposium
Chair Hiroshi Kanayama(IBM)
Vice Chair Makoto Ichise(NTT DoCoMo) / Takeshi Sakaki(Univ. of Tokyo/Hottolink)
Secretary Makoto Ichise(Ryukoku Univ.) / Takeshi Sakaki(Kyushu Inst. of Tech.)
Assistant Ryuichiro Higashinaka(NTT) / Mitsuo Yoshida(Toyohashi Univ. of Tech.)

Paper Information
Registration To Technical Committee on Natural Language Understanding and Models of Communication
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Named entity recognition for office documents with Pre-trained Hidden-Unit CRF
Sub Title (in English)
Keyword(1)
1st Author's Name Seiji Suzuki
1st Author's Affiliation Fuji Xerox Co., Ltd.(Fuji Xerox)
2nd Author's Name Tomoko Ohkuma
2nd Author's Affiliation Fuji Xerox Co., Ltd.(Fuji Xerox)
3rd Author's Name Motoki Taniguchi
3rd Author's Affiliation Fuji Xerox Co., Ltd.(Fuji Xerox)
Date 2016-09-09
Paper # NLC2016-22
Volume (vol) vol.116
Number (no) NLC-213
Page pp.pp.57-62(NLC),
#Pages 6
Date of Issue 2016-09-01 (NLC)