Search Results for author: Seitaro Shinagawa

Found 5 papers, 0 papers with code

Pointing out Human Answer Mistakes in a Goal-Oriented Visual Dialogue

no code implementations19 Sep 2023 Ryosuke Oshima, Seitaro Shinagawa, Hideki Tsunashima, Qi Feng, Shigeo Morishima

Effective communication between humans and intelligent agents has promising applications for solving complex problems.

Language Modelling

Modeling Multiple User Interests using Hierarchical Knowledge for Conversational Recommender System

no code implementations1 Mar 2023 Yuka Okuda, Katsuhito Sudoh, Seitaro Shinagawa, Satoshi Nakamura

A conversational recommender system (CRS) is a practical application for item recommendation through natural language conversation.

Recommendation Systems

Community-Driven Comprehensive Scientific Paper Summarization: Insight from cvpaper.challenge

no code implementations17 Mar 2022 Shintaro Yamamoto, Hirokatsu Kataoka, Ryota Suzuki, Seitaro Shinagawa, Shigeo Morishima

To alleviate this problem, we organized a group of non-native English speakers to write summaries of papers presented at a computer vision conference to share the knowledge of the papers read by the group.

Emotional Speech Corpus for Persuasive Dialogue System

no code implementations LREC 2020 Sara Asai, Koichiro Yoshino, Seitaro Shinagawa, Sakriani Sakti, Satoshi Nakamura

Expressing emotion is known as an efficient way to persuade one{'}s dialogue partner to accept one{'}s claim or proposal.

Interactive Image Manipulation with Natural Language Instruction Commands

no code implementations23 Feb 2018 Seitaro Shinagawa, Koichiro Yoshino, Sakriani Sakti, Yu Suzuki, Satoshi Nakamura

We propose an interactive image-manipulation system with natural language instruction, which can generate a target image from a source image and an instruction that describes the difference between the source and the target image.

Image Generation Image Manipulation

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