27 citations · 27 across the 7 of their papers we have counts for
13 papers
Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression
Kai Yoshida, Masahiro Mizukami, Seiya Kawano +3
To improve user engagement during conversations with dialogue systems, we must improve individual dialogue responses and dialogue impressions such as consistency, personality, and…
What Should the System Do Next?: Operative Action Captioning for Estimating System Actions
Taiki Nakamura, Seiya Kawano, Akishige Yuguchi +2
Such human-assisting systems as robots need to correctly understand the surrounding situation based on observations and output the required support actions for humans. Language is…
ARTA: Collection and Classification of Ambiguous Requests and Thoughtful Actions
Shohei Tanaka, Koichiro Yoshino, Katsuhito Sudoh +1
Human-assisting systems such as dialogue systems must take thoughtful, appropriate actions not only for clear and unambiguous user requests, but also for ambiguous user requests, e…
Reflection-based Word Attribute Transfer
Yoichi Ishibashi, Katsuhito Sudoh, Koichiro Yoshino +1
Word embeddings, which often represent such analogic relations as king - man + woman = queen, can be used to change a word's attribute, including its gender. For transferring king…
Caption Generation of Robot Behaviors based on Unsupervised Learning of Action Segments
Koichiro Yoshino, Kohei Wakimoto, Yuta Nishimura +1
Bridging robot action sequences and their natural language captions is an important task to increase explainability of human assisting robots in their recently evolving field. In t…
Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding
Shohei Tanaka, Koichiro Yoshino, Katsuhito Sudoh +1
We propose a novel method for selecting coherent and diverse responses for a given dialogue context. The proposed method re-ranks response candidates generated from conversational…