一橋大学 ソーシャル・データサイエンス学部・研究科 ロゴ

一橋大学 ソーシャル・データサイエンス学部・研究科

FACULTY
ATSUSHI KEYAKI-image
ATSUSHI KEYAKI
Graduate School of Social Data Science/Associate Professor
Field of Study
Information Retrieval
Natural Language Processing
Dialogue Systems
INTERVIEW
Innovative education and research encouraged in the Social Data Science Program
Students who come to SDS to study a new field in a new department with no previous reputation are light on their feet and interested in various things. However, today's world is overflowing with a variety of information, and we are in an age in which we are required to select and discard the information. That is why I would like to present information and provide guidance that is truly useful for each student while considering each student's interests and aptitudes. In addition, although the SDS is small in size, the research fields worked on are diverse. I would like to take advantage of this to make it a place where members can easily collaborate. To this end, it is crucial to create an atmosphere of mutual respect for each other's fields, because such ideas as which fields are great and which are not are harmful.
CLASS
  • (U)Databese
  • (U)Data Handling
  • (U)Artificial Intelligence
  • (U)Project-Based Learning Reserch D
My specialty is information access. It may be difficult to imagine what information access is, but it refers to technology for presenting information people want. For example, information access technology is used in search engines, voice agents, and smart speakers that you use in your daily life. Typical examples are information retrieval, recommender systems, question answering, and dialogue systems. We also use machine learning, natural language processing, data mining, and database systems to present useful and convenient information to people. Recent research topics include the development of a large-scale language model for information retrieval tasks and a study of citizen opinion extraction across cities using multi-task learning.
Keywords
  • Information retrieval
  • natural language processing
  • dialogue systems
  • uestion answering
  • recommender systems
  • machine learning
  • data mining
  • database systems
TOP FACULTY ATSUSHI KEYAKI