Accepted Papers

The following papers have been accepted and are scheduled to be published as Vol. 32 No. 1 in mid-March 2025.

• General Paper
  Shun Inadumi, Seiya Kawano, Akishige Yuguchi, Yasutomo Kawanishi and Koichiro Yoshino
  Disambiguating Ambiguous Questions using Eye-Gaze in Visual Question Answering
  
  
• General Paper
  Kotaro Aono, Ryohei Sasano and Koichi Takeda
  Verifying Claims About Metaphors with Large-Scale Automatic Metaphor Identification
  
  

The following papers have been accepted and are scheduled to be published as Vol. 31 No. 4 in mid-December 2024.

• General Paper
  Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi and Taro Watanabe
  Investigation of the Inference Capabilities and Memorization of Pre-trained Language Models
  
  
• General Paper
  Yuya Ogasa, Tomoyuki Kajiwara and Yuki Arase
  Data Augmentation by Paraphrasing with Controllable Semantic and Lexical Similarities
  
  
• General Paper
  Zhidong Ling, Taichi Aida, Teruaki Oka and Mamoru Komachi
  Construction and Analysis of Evaluation Dataset for Japanese Lexical Semantic Change Detection
  
  
• General Paper
  An Wang, Junfeng Jiang, Youmi Ma, Ao Liu and Naoaki Okazaki
  Generative Data Augmentation for Aspect Sentiment Quad Prediction
  
  
• General Paper
  Masashi Oshika, Kosuke Yamada, Ryohei Sasano and Koichi Takeda
  Transformer-based Live Update Generation for Soccer Matches from Microblog Posts
  
  
• General Paper
  Shotaro Ishihara, Hiromu Takahashi and Hono Shirai
  Semantic Shift Stability: Auditing Time-Series Performance Degradation of Pre-trained Models via Semantic Shift of Words in Training Corpus
  
  
• General Paper
  Shohei HISADA, Shoko WAKAMIYA and Eiji ARAMAKI
  Court Case Dataset for Japanese Online Offensive Language Detection
  
  
• General Paper
  Yuiko Tsunomori and Ryuichiro Higashinaka
  Construction and analysis of utterance corpus incorporating arbitrary user information for building personalized chat-oriented dialogue systems
  
  
• General Paper
  SOICHI KAGEYAMA and TAKASHI INUI
  Evaluation of the Effectiveness of Geographical Specificity Index in Document Geolocation Task
  
  
• General Paper
  Runa Yoshida and Takuya Matsuzaki
  How Domain Adaptation of BERT Improves Syntactic Parsing of Math Text
  
  
• System Paper
  Shotaro Ishihara, Eiki Murata, Yasufumi Nakama and Hiromu Takahashi
  Building and Leveraging Domain-specific Pre-trained Models to Support Japanese News Summarization