4 citations · 8 across the 4 of their papers we have counts for
4 papers
SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images
Ryota Tanaka, Kyosuke Nishida, Kosuke Nishida +3
Visual question answering on document images that contain textual, visual, and layout information, called document VQA, has received much attention recently. Although many datasets…
VisualMRC: Machine Reading Comprehension on Document Images
Ryota Tanaka, Kyosuke Nishida, Sen Yoshida
Recent studies on machine reading comprehension have focused on text-level understanding but have not yet reached the level of human understanding of the visual layout and content…
Fact-based Dialogue Generation with Convergent and Divergent Decoding
Ryota Tanaka, Akinobu Lee
Fact-based dialogue generation is a task of generating a human-like response based on both dialogue context and factual texts. Various methods were proposed to focus on generating…
An Ensemble Dialogue System for Facts-Based Sentence Generation
Ryota Tanaka, Akihide Ozeki, Shugo Kato +1
This study aims to generate responses based on real-world facts by conditioning context and external facts extracted from information websites. Our system is an ensemble system tha…