Online edition: ISSN 2432-6380
[TOP] | [2020] | [2021] | [2022] | [2023] | [2024] | [2025] | [2026] | [Japanese] / [English]
NLC2025-1
A Knowledge-Driven Framework for Domain and Diversity Alignment in Emotion Data Generation using a Large Language Model
Keito Inoshita (KU)
pp. 1 - 6
NLC2025-2
ABSA-Bench-Fin-Ja: Aspect Based Sentiment Analysis Benchmark for Finance in Japanese
Kaito Takano (Nomura Asset Management)
pp. 7 - 12
NLC2025-3
(See Japanese page.)
p. 13
NLC2025-4
Efforts to Automate VOC Analysis Using Generative AI
-- Techniques to Support the Quality of Topic Extraction, Classification, and Summarization --
Yuta Matsushima, Yoshiharu Shin, Takuma Kuramitsu, Yasuhiro Tanaka (Canon IT Solutions)
pp. 14 - 19
NLC2025-5
A Study of Computational Method for Extracting and Corresponding Complaints and Requests from Complaint Survey
Nanako Hirao, Ryosuke Yamanishi (Kansai Univ.)
pp. 20 - 25
NLC2025-6
Timing of “ma” in Radio News Announcing
-- A Mathematical Model for Better Speech --
Yuya Sasaki, Mitsuharu Aoki (HIT), Shunji Maeda (Calc), Tetsuji Taniguchi (HIT)
pp. 26 - 31
NLC2025-7
A Prototype Support System for Systematic Literature Review Using Bibliographic Information
-- Identifying Research Topics and Key Literature --
Masahiro Ishikawa (TUHW), Junichi Kato (Kurume Univ.)
pp. 32 - 37
NLC2025-8
Analysis of mid-term management plan disclosures through text mining of Japanese corporate earnings briefings
Tomonori Manabe (Tsukuba Univ.), Yutaka Kuroki (Osaka Metropolitan Univ.)
pp. 38 - 43
NLC2025-9
Analysis of mid-term management plan disclosures through text mining of Japanese corporate earnings briefings
Yutaka Kuroki (Logmi), Kaito Takano (Nomura Asset Management)
pp. 44 - 49
NLC2025-10
(See Japanese page.)
pp. 50 - 55
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.