Presentation 2019-09-28
A Method for Classifying Temporal Relations Using Attention-based Neural Networks
Kangkang Zhao, Masaki Oguni, Yohei Seki, Kazunari Sugiyama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # NLC2019-25
Date of Issue 2019-09-20 (NLC)

Conference Information
Committee NLC / IPSJ-DC
Conference Date 2019/9/27(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Future Corporation
Topics (in Japanese) (See Japanese page)
Topics (in English) The Thirteenth Text Analytics Symposium
Chair Takeshi Sakaki(Hottolink) / Ryoji Akimoto(Toppan Printing)
Vice Chair Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Kazutaka Shimada(Kyushu Inst. of Tech.)
Secretary Mitsuo Yoshida(Ryukoku Univ.) / Kazutaka Shimada(NTT) / (Future Univ. Hakodate)
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 ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Method for Classifying Temporal Relations Using Attention-based Neural Networks
Sub Title (in English)
Keyword(1)
1st Author's Name Kangkang Zhao
1st Author's Affiliation University of Tsukuba(Univ. of Tsukuba)
2nd Author's Name Masaki Oguni
2nd Author's Affiliation University of Tsukuba(Univ. of Tsukuba)
3rd Author's Name Yohei Seki
3rd Author's Affiliation University of Tsukuba(Univ. of Tsukuba)
4th Author's Name Kazunari Sugiyama
4th Author's Affiliation Kyoto University(Kyoto Univ.)
Date 2019-09-28
Paper # NLC2019-25
Volume (vol) vol.119
Number (no) NLC-212
Page pp.pp.93-98(NLC),
#Pages 6
Date of Issue 2019-09-20 (NLC)