Knowledge Acquisition System Laboratory (Kato Laboratory) aims to develop a system that autonomously acquires knowledge from a large amount of statistical data on the Web, and a search engine that enables users to search for the acquired knowledge.
Our paper “What Rankers Can be Statistically Distinguished in Multileaved Comparisons?“, authored by Makoto P. Kato, Akiomi Nishida, Tomohiro Manabe, Sumio Fujita, and Takehiro Yamamoto, has been accepted at CIKM 2020 as a short paper. This is an outcome of a collaborative research with Yahoo Japan Corporation.Read More
The project proposed by Kohei Shinden, a B4 student in our lab., and Shinnosuke Ando, a B4 student in College of Media Arts, Science and Technology, has been accepted by the MITOU Program, which is a talent scout project led by IPA in Japan 👏👏👏 . Their project is “development of a system that recommends […]Read More
Four lab. members introduced papers at a reading group, IR Reading, organized by Tokyo ACM SIGIR Chapter. Dynamic Graph Convolutional Networks for Entity Linking (TheWebConf 2020) introduced by Iizuka Kojiro Ad Hoc Table Retrieval using Intrinsic and Extrinsic Similarities (TheWebConf 2020) introduced by Yu Nakano Text-to-SQL Generation for Question Answering on Electronic Medical Records (TheWebConf […]Read More
On March 24, 2020, we had an online joint research workshop with Joho lab. and Yu lab. at University of Tsukuba, in which B3 students in our lab. presented their project research (a mini research exercise in which B3 students have been engaged since last year). Projects Takuya Sasaji: Bidirectional Attention Flow for Japanese Question […]Read More
Yuki Yanagida won the online presentation award at DEIM 2020 (a domestic conference on data engineering and data management) for the presentation of his research carried out in a course. 👏👏👏 柳田雄輝，若林啓，佐藤哲司．動画共有サイトにおけるコメント語彙の時系列解析手法の提案．DEIM 2020． DEIM 2020（第12回データ工学と情報マネジメントに関するフォーラム）Read More