no code implementations • 2 May 2023 • Rina Kagawa, Masaki Matsubara, Rei Miyata, Takuya Matsuzaki, Yukino Baba, Yoko Yamakata
This study proposed the experimental framework to identify useful contents of documents by aggregating lay readers' insights.
no code implementations • 20 Oct 2021 • Jiafeng Mao, Qing Yu, Yoko Yamakata, Kiyoharu Aizawa
In this study, we propose a new problem setting of training object detectors on datasets with entangled noises of annotations of class labels and bounding boxes.
no code implementations • LREC 2020 • Taichi Nishimura, Suzushi Tomori, Hayato Hashimoto, Atsushi Hashimoto, Yoko Yamakata, Jun Harashima, Yoshitaka Ushiku, Shinsuke Mori
Visual grounding is provided as bounding boxes to image sequences of recipes, and each bounding box is linked to an element of the workflow.
no code implementations • LREC 2020 • Yoko Yamakata, Shinsuke Mori, John Carroll
For r-NE tagging we train a deep neural network NER tool; to compute flow graphs we train a dependency-style parsing procedure which we apply to the entire sequence of r-NEs in a recipe. In evaluations, our systems achieve 71. 1 to 87. 5 F1, demonstrating that our annotation scheme is learnable.
no code implementations • 3 Mar 2019 • Masashi Anzawa, Sosuke Amano, Yoko Yamakata, Keiko Motonaga, Akiko Kamei, Kiyoharu Aizawa
We investigate image recognition of multiple food items in a single photo, focusing on a buffet restaurant application, where menu changes at every meal, and only a few images per class are available.
no code implementations • LREC 2014 • Shinsuke Mori, Hirokuni Maeta, Yoko Yamakata, Tetsuro Sasada
The domain we focus on is cooking recipe.