Author: mpkato

Seven DEIM 2021 Papers Presented

Seven papers were presented at DEIM 2021 (a domestic workshop): ニュース記事の品質が広告消費行動に与える影響の調査(飯塚洸二郎, 加藤誠, 関喜史) 深層強化学習を用いたノード分類(柳田雄輝, 加藤誠) Toward Description Generation for Tables in Scientific Articles(Junjie H. Xu, Wiradee Imrattanatrai, Makoto P. Kato) グラフニューラルネットワークを用いたスプレッドシートの見出し認識(笹治拓矢, 加藤誠) 誤引用検証ための被引用統計データの検索(中野優, 加藤誠) Twitterユーザに対するゼロショットタグ付け(新田洸平, 加藤誠) 視覚化意図を考慮したデータの効果的な視覚化方法の推定(丸田敦貴, 加藤誠)

Read More

WI-IAT 2020 Paper Presented

Our paper “Cross-Domain Rating Prediction for Market Development“, authored by Yuki Otsuka, Makoto P. Kato, Sumio Fujita, and Masatoshi Yoshikawa, was presented at WI-IAT 2020 as a short paper. This is an outcome of a collaborative research with Yahoo Japan Corporation.

Read More

Two NTCIR-15 Papers Presented

Our paper “KASYS at the NTCIR-15 WWW-3 Task“, authored by Kohei Shinden, Atsuki Maruta, Makoto P. Kato, was presented at the NTCIR-15 conference. Kohei Shinden and Atsuki Maruta had oral and poster presentations. In addition, our paper “Overview of the NTCIR-15 Data Search Task“, authored by Makoto P. Kato, Hiroaki Ohshima, Ying-Hsang Liu and Hsin-Liang […]

Read More

CIKM 2020 Paper Accepted

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

Shinden-san’s (B4) Proposal Accepted by the MITOU Program

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 of Us Introduced Papers at IR Reading 2020 Spring (Online)

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

ECIR 2020 Paper Presented

Makoto P. Kato‘s paper “Context-guided Learning to Rank Entities“, co-authored by Wiradee Imrattanatrai, Takehiro Yamamoto, Hiroaki Ohshima, and Katsumi Tanaka, was presented at ECIR 2020.

Read More

Online Joint Research Workshop with Joho Lab. & Yu Lab.

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

A New Design for KASYS Website

The website design has been updated. The logo and banner were designed by Takuto Okamoto, who belongs to School of Art and Design, University of Tsukuba (as of March 2020).

Read More

Yanagida-san (B3) Won Online Presentation Award at DEIM 2020

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