We will present the following paper at NAACL 2025 (2025/4-5) . †

• Siddhant Arora, Yifan Peng, Jiatong Shi, Jinchuan Tian, William Chen, Shikhar Bharadwaj, Hayato Futami, Yosuke Kashiwagi, Emiru Tsunoo, Shuichiro Shimizu, Vaibhav Srivastav, Shinji Watanabe. ESPnet-SDS: Unified Toolkit and Demo for Spoken Dialogue Systems (System Demonstrations)

Dr. Jivnesh Sandhan joined our lab as a researcher. (2024/12/1) †

We climbed Mount Daimonji. (11/27) †

We will present the following papers at EMNLP 2024(2024/11) †

• Yin Jou Huang, Rafik Hadfi: How Personality Traits Influence Negotiation Outcomes? A Simulation based on Large Language Models (Findings)
• Junfeng Jiang, Fei Cheng, Akiko Aizawa: Improving Referring Ability for Biomedical Language Models (Findings)

Zhuoyuan Mao who got his Ph.D. degree last fiscal year received the AAMT Nagao Award Student Encouragement Award for his following doctoral thesis (2024/5). †

• Breaking Language Barriers: Enhancing Multilingual Representation for Sentence Alignment and Translation

We will present the following papers at ACL 2024 (2024/8) . †

• Sirou Chen, Sakiko Yahata, Shuichiro Shimizu, Zhengdong Yang, Yihang Li, Chenhui Chu, Sadao Kurohashi:
  MELD-ST: An Emotion-aware Speech Translation Dataset (Findings)
• Yahan Yu, Duzhen Zhang, Xiuyi Chen, Chenhui Chu:
  Flexible Weight Tuning and Weight Fusion Strategies for Continual Named Entity Recognition (Findings)
• Duzhen Zhang, Yahan Yu, Chenxing Li, Jiahua Dong, Dan Su, Chenhui Chu, Dong Yu:
  MM-LLMs: Recent Advances in MultiModal Large Language Models (Findings)
• Zhen Wan, Yating Zhang, Yexiang Wang, Fei Cheng, Sadao Kurohashi:
  Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain (Findings)

We will hold a briefing session (2024/5/11) †

• As part of the admission orientation of the Intelligence Science and Technology Course held on 11 May, 2024, our lab will have an onsite briefing session after the course-wide session. We plan to hold two briefing sessions from 15:00 and 16:00, respectively.

The following paper received the FY2023 best paper award of the Journal of Natural Language Processing (2024/3) †

• Kazumasa Omura, Daisuke Kawahara, and Sadao Kurohashi:
  Building a Commonsense Inference Dataset based on Basic Events and its Application

Search Engine Infrastructure based on Deep Natural Language Processing †

The essential purpose of information retrieval is not to retrieve just a relevant document but to acquire the information or knowledge in the document. We have been developing a next-generation infrastructure of information retrieval on the basis of the following techniques of deep natural language processing: precise processing based not on words but on predicate-argument structures, identifying the variety of linguistic expressions and providing a bird's-eye view of search results via clustering and interaction.

Machine Translation †

To bring automatic translation by computers to the level of human translation, we have been studying next-generation methodology of machine translation on the basis of text understanding and a large collection of translation examples. We have already accomplished practical translation on the domain of travel conversation, and constructed a translation-aid system that can be used by experts of patent translation.