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

Post-doctoral researcher Huang Yin Jou starts working at the Graduate School of Informatics, Kyoto University as a program-specific assistant professor. †

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)

Prof. Sadao Kurohashi will assume the position of Director of the National Institute of Informatics (NII) in April 2023. The cross-appointment procedure between Kyoto University and NII is under way. †

We released the Japanese Culinary Interview Dialog Corpus (CIDC). †

The following paper has been selected as Outstanding Paper of COLING2022. (10/15) †

• Kazumasa Omura and Sadao Kurohashi:
  Improving Commonsense Contingent Reasoning by Pseudo-data and its Application to the Related Tasks

We will present the following papers at EMNLP2022 (2022/12) †

• Zhen Wan, Qianying Liu, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi and Jiwei Li:
  Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction
• Yibin Shen, Qianying Liu, Zhuoyuan Mao, Fei Cheng and Sadao Kurohashi:
  Textual Enhanced Contrastive Learning for Solving Math Word Problems (Findings)

• Jumon Nozaki and Yugo Murawaki:
  Addressing Segmentation Ambiguity in Neural Linguistic Steganography

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.