Presentation 2023-05-12
A Study on the Extraction of Subjective Knowledge from a Generatively Pre-Trained Language Model
Kobayashi Atsuya, Yamaguchi Saneyasu,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # NS2023-17
Date of Issue 2023-05-04 (NS)

Conference Information
Committee NS
Conference Date 2023/5/11(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Shinjuku Campus, Kogakuin University + Online
Topics (in Japanese) (See Japanese page)
Topics (in English) High level protocol, Networking technologies (IP and high-layer routing/filtering, Multicast, Quality/Routing control), IP network application technologies (P2P, P4P, Overlay, SIP, NGN), Network system related technologies (System configuration, Interface, Architecture, Hardware/Software/Middleware), Security, Blockchain etc.
Chair Tetsuya Oishi(NTT)
Vice Chair Takumi Miyoshi(Shibaura Insti of Tech.)
Secretary Takumi Miyoshi(NTT)
Assistant Kotaro Mihara(NTT)

Paper Information
Registration To Technical Committee on Network Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on the Extraction of Subjective Knowledge from a Generatively Pre-Trained Language Model
Sub Title (in English)
Keyword(1)
1st Author's Name Kobayashi Atsuya
1st Author's Affiliation Kogakuin University(Kogakuin Univ.)
2nd Author's Name Yamaguchi Saneyasu
2nd Author's Affiliation Kogakuin University(Kogakuin Univ.)
Date 2023-05-12
Paper # NS2023-17
Volume (vol) vol.123
Number (no) NS-17
Page pp.pp.38-42(NS),
#Pages 5
Date of Issue 2023-05-04 (NS)