The following paper received the Young Researcher award of the 244-th meeting of IPSJ Natural Language Processing(link in Japanese) (2020/7) †

• Takumi Yoshikoshi, Daisuke Kawahara and Sadao Kurohashi:
  Multilingualization of a Natural Language Inference Dataset Using Machine Translation

&sizex(5){We will hold an online briefing session (23 May, 2020)}; †

We will hold a zoom-based online briefing session (open-lab) for those who are considering taking the entrance examination to be held in August 2020. Please submit the registration form to join!

We will present the following papers at ACL2020SRW †

• Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi and Eiichiro Sumita:
  Pre-training via Leveraging Assisting Languages for Neural Machine Translation
• Yu Tanaka, Yugo Murawaki, Daisuke Kawahara and Sadao Kurohashi:
  Building a Japanese Typo Dataset from Wikipedia's Revision History

Associate Professor Daisuke Kawahara moved to School of Fundamental Science and Engineering, Waseda University as a professor. †

We will present the following papers at LREC2020 (2020/5) †

• Yudai Kishimoto, Yugo Murawaki and Sadao Kurohashi:
  Adapting BERT to Implicit Discourse Relation Classification with a Focus on Discourse Connectives
• Ritsuko Iwai, Daisuke Kawahara, Takatsune Kumada and Sadao Kurohashi:
  Development of a Japanese Personality Dictionary based on Psychological Methods

• Ritsuko Iwai, Daisuke Kawahara, Takatsune Kumada and Sadao Kurohashi:
  Acquiring Social Knowledge about Personality and Driving-related Behavior
• Shuntaro Yada, Ayami Joh, Ribeka Tanaka, Fei Cheng, Eiji Aramaki and Sadao Kurohashi:
  Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases
• Haiyue Song, Raj Dabre, Atsushi Fujita, Sadao Kurohashi:
  Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation
• Zhuoyuan Mao, Fabien Cromieres, Raj Dabre, Haiyue Song and Sadao Kurohashi:
  JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation
• Takashi Kodama, Ryuichiro Higashinaka, Koh Mitsuda, Ryo Masumura, Yushi Aono, Ryuta Nakamura, Noritake Adachi and Hidetoshi Kawabata:
  Generating Responses that Reflect Meta Information in User-Generated Question Answer Pairs

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.