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 laboratory mainly focuses on the following fields in Information Retrieval: retrieval models and ranking, learning to rank, search intent estimation, knowledge base development, knowledge base applications, Web mining, information extraction, search behavior analysis, search user models, recommendation systems, online evaluation.

News

WISE 2021 Paper Accepted

Our paper “Intent-aware Visualization Recommendation for Tabular Data”, authored by Atsuki Maruta, Makoto P. Kato, has been accepted at WISE 2021.

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CIKM 2021 Paper Accepted

Our short paper “The Effect of News Article Quality on Ad Consumption”, authored by Kojiro Iizuka, Yoshifumi Seki, Makoto P. Kato, has been accepted at CIKM 2021.

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IEEE GCCE 2021 Paper Accepted

Our paper “Table Caption Generation in Scholarly Documents Leveraging Pre-trained Language Models”, authored by Junjie H. Xu, Kohei Shinden, Makoto P. Kato, has been accepted at IEEE GCCE 2021.

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IPSJ TOD Journal Papers (Vol. 14, No. 4) Accepted

Two papers have been accepted at IPSJ TOD Journal (Vol. 14, No. 4): Kojiro Iizuka, Makoto P. Kato, Yoshifumi Seki: Dynamic Hyperbolic Embeddings with Graph-Centralized Regularization for Recommender Systems 中野 優, 加藤 誠: クエリと文書のフィールドを考慮した被引用統計データの検索

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ICTIR 2021 Paper Accepted

Our paper “Decomposition and Interleaving for Variance Reduction of Post-click Metrics”, authored by Kojiro Iizuka, Yoshifumi Seki, Makoto P. Kato, has been accepted at ICTIR 2021.

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

The project proposed by Minami Yoda, a B4 student in KASYS, has been accepted by the MITOU Program, which is a talent scout project led by IPA in Japan 👏👏👏 . The project title is “Real-world plant search system.” 2021年度未踏IT人材発掘・育成事業公募結果について

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SIGIR 2021 Paper Accepted

Our paper “A Test Collection for Ad-hoc Dataset Retrieval”, authored by Makoto P. Kato, Hiroaki Ohshima, Ying-Hsang Liu, Hsin-Liang Chen, has been accepted at SIGIR 2021 as a resource paper.

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KASYS Won DEIM 2021 Awards

Takuya Sasaji (B4), Kohein Shinden(B4), Atsuki Maruta (B4), and Yu Nakano (D1) won the student presentation award, and Kohein Shinden won the “outstanding” research award at DEIM 2021 (a domestic workshop)! 👏👏👏  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) 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) 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) DEIM 2021(第13回データ工学と情報マネジメントに関するフォーラム)

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Research Topics

Visualizing Data

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