LREC2020 (2020/5)で以下の論文発表を行います。 †

• 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,

The following paper received a best paper award of the Journal of Natural Language Processing (2020/3) †

• Shuhei Kurita, Daisuke Kawahara and Sadao Kurohashi:
  Neural Network-based Chinese Joint Syntactic Analysis,

The following paper received the Young Researcher award of the 26-th annual meeting of the association for natural language processing †

• Nobuhiro Ueda, Daisuke Kawahara and Sadao Kurohashi:
  Integrated anaphora and coreference resolution using BERT and Refinement Network,

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.