Satoshi Horikawa, Chiyonosuke Nemoto, Keishi Tajima, Masaki Matsubara, Atsuyuki Morishima

An Adaptive Feature Selection Method for Learning-to-Enumerate Problem

Proc. of 46th European Conference on Information Retrieval Part III,
pp.122-136, Springer, March 2024 (Springer Link)

• abstract
• slides
• BibTex entry

• #情報検索
• #機械学習
• #Glasgow
• #UK

Ruide Li, Yoko Yamakata, Keishi Tajima

Active Learning Strategies Based on Text Informativeness

Proc. of IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology,
pp.32-39, IEEE Computer Society Press, November 2022 (IEEE Xplore, IEEE CS DL)

• abstract
• full text
• slides
• BibTex entry
• talk (mp4)

• #機械学習
• #NiagaraFalls
• #Canada

Yoko Yamakata, Keishi Tajima, Shinsuke Mori

A Case Study on Start-up of Dataset Construction: In Case of Recipe Named Entity Corpus

Proc. of 2nd HMData Workshop (collocated with IEEE BigData),
pp.3564-3567, IEEE Computer Society Press, December 2018 (IEEE Xplore)

• abstract
• full text
• slides
• BibTex entry

• #レシピデータ
• #食メディア
• #クラウドソーシング
• #機械学習
• #Seattle
• #USA