Accepted Papers
The following papers have been accepted and are scheduled to be published as Vol. 32 No. 4 on December 15, 2025.
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General Paper
Zhiyang Qi and Michimasa Inaba
Adapting Spoken Dialogue Systems to Low-Resource User Groups through Data Augmentation with a Focus on Dialogue Act Flow and Style -
General Paper
Ryoma Ishigaki, Jundai Suzuki, Masaki Shuzo and Eisaku Maeda
Knowledge Editing of Large Language Models Unconstrained by Word Order -
General Paper
Ayuki Katayama, Shohei Higashiyama, Hiroki Ouchi, Yusuke Sakei, Ayano Takeuchi, Ryo Bando, Yuta Hashimoto, Toshinobu Ogiso and Taro Watanabe
Cross-Era Evaluation of Language Models for Location Referring Expression Extraction -
General Paper
Adam Nohejl, Akio Hayakawa, Yusuke Ide and Taro Watanabe
A Japanese Dataset and Efficient Multilingual LLM-Based Methods for Lexical Simplification and Lexical Complexity Prediction -
General Paper
Hajime Kiyama, Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura and Daichi Mochihashi
Analyzing Word Semantic Shifts with Diachronic Similarity Matrices -
General Paper
Ikumi Numaya, Shoji Moriya, Shiki Sato, Reina Akama and Jun Suzuki
Dialogue Evaluation Is Affected by How Raters Perceive Stylistic Similarity
The following papers have been accepted and are scheduled to be published as Vol. 32 No. 3 on September 15, 2025.
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General Paper
Yuki Kanno and Ryohei Banno
Estimating Viewer Emotions on Online Video Sharing Services -
General Paper
Takeshi S. Kobayakawa, Takeshi Sakaki, Masanao Ochi and Ichiro Sakata
A Scene Matching of User-Generated Real-Time Comments by Predicting Outgoing Time-Lag -
General Paper
Wataru Hashimoto, Hidetaka Kamigaito and Taro Watanabe
Uncertainty Estimation through Data Augmentation in Named Entity Recognition -
General Paper
Haruki Sakajo, Yusuke Sakai, Hidetaka Kamigaito and Taro Watanabe
Vowel Articulation and Tongue Position in Language Models -
General Paper
Huayang Li, Deng Cai, Zhi Qu, Qu Cui, Hidetaka Kamigaito, Lemao Liu and Taro Watanabe
Cross-lingual Contextualized Phrase Retrieval -
System Paper
Masao Ideuchi, Yoshiaki Oida, Shohei Higashiyama, Hideki Tanaka, Masao Utiyama and Taro Watanabe
Component Recommend System for Enterprise Resource Planning Package by Reranking using Large Language Models