We will present the following papers at ACL2023 (2023/7). †

• Tatsuro Inaba, Hirokazu Kiyomaru, Fei Cheng and Sadao Kurohashi:
  GPT-3 Can Leverage Multiple External Tools for Reasoning
• Zhuoyuan Mao, Raj Dabre, Qianying Liu, Haiyue Song, Chenhui Chu and Sadao Kurohashi:
  Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation
• Shuichiro Shimizu, Chenhui Chu, Sheng Li, and Sadao Kurohashi:
  Towards Speech Dialogue Translation Mediating Speakers of Different Languages (Findings)

We will hold a briefing session (2023/5/13) †

As part of the admission orientation of the Intelligence Science and Technology Course held on 13 May, 2023, our lab will have a briefing session. Please register on the course website.

We will present the following papers at ICASSP2023 (2023/6) †

• Qianying Liu, Zhuo Gong, Zhengdong Yang, Yuhang Yang, Sheng Li, Chenchen Ding, Nobuaki Minematsu, Hao Huang, Fei Cheng, Chenhui Chu, Sadao Kurohashi:
  Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition
• Kak Soky, Sheng Li, Chenhui Chu, Tatsuya Kawahara:
  Domain and Language Adaptation Using Heterogeneous Datasets for Wav2vec2.0-based Speech Recognition of Low-resource Language

We will present the following papers at EACL2023 (2023/5). †

• Zhuoyuan Mao and Tetsuji Nakagawa:
  LEALLA: Learning Lightweight Language-agnostic Sentence Embedding with Knowledge Distillation

• Qianying Liu, Wenyu Guan, Jianhao Shen, Fei Cheng and Sadao Kurohashi:
  ComSearch:Equation Searching with Combinatorial Strategy for Solving Math Word Problems with Weak Supervision

• Zhen Wan, Fei Cheng, Qianying Liu, Zhuoyuan Mao, Haiyue Song and Sadao Kurohashi:
  Relation Extraction with Weighted Contrastive Pre-training on Distant Supervision (Findings)

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.