no code implementations • LREC 2022 • Kento Tanaka, Taichi Nishimura, Hiroaki Nanjo, Keisuke Shirai, Hirotaka Kameko, Masatake Dantsuji
We focus on image description and a corresponding assessment system for language learners.
no code implementations • 4 Apr 2024 • Taichi Nishimura, Koki Yamamoto, Yuto Haneji, Keiya Kajimura, Chihiro Nishiwaki, Eriko Daikoku, Natsuko Okuda, Fumihito Ono, Hirotaka Kameko, Shinsuke Mori
From our preliminary study, we found that detecting objects only using Micro QR Codes is still difficult because the researchers manipulate objects, causing blur and occlusion frequently.
no code implementations • 25 Mar 2024 • Keyaki Ohno, Hirotaka Kameko, Keisuke Shirai, Taichi Nishimura, Shinsuke Mori
By utilizing hyperlinks, we can accurately assign location expressions with coordinates even with ambiguous location expressions in the texts.
no code implementations • 31 May 2023 • Keisuke Shirai, Hirotaka Kameko, Shinsuke Mori
In this work, we propose a framework based on the recipe FG for flow graph prediction of open-domain procedural texts.
no code implementations • 21 Sep 2022 • Taichi Nishimura, Atsushi Hashimoto, Yoshitaka Ushiku, Hirotaka Kameko, Shinsuke Mori
However, unlike DVC, in recipe generation, recipe story awareness is crucial, and a model should extract an appropriate number of events in the correct order and generate accurate sentences based on them.
no code implementations • COLING 2022 • Keisuke Shirai, Atsushi Hashimoto, Taichi Nishimura, Hirotaka Kameko, Shuhei Kurita, Yoshitaka Ushiku, Shinsuke Mori
We present a new multimodal dataset called Visual Recipe Flow, which enables us to learn each cooking action result in a recipe text.
no code implementations • LREC 2020 • Hirotaka Kameko, Shinsuke Mori
In this paper, we propose {``}Event Appearance{''} labels that show the relationship between events mentioned in texts and those happening in the real world.
no code implementations • LREC 2016 • Shinsuke Mori, John Richardson, Atsushi Ushiku, Tetsuro Sasada, Hirotaka Kameko, Yoshimasa Tsuruoka
We describe a detailed definition of named entities and show some statistics of our game commentary corpus.