8 citations · 13 across the 10 of their papers we have counts for
11 papers
Enhancing Persuasive Dialogue Agents by Synthesizing Cross-Disciplinary Communication Strategies
Shinnosuke Nozue, Yuto Nakano, Yotaro Watanabe +4
Current approaches to developing persuasive dialogue agents often rely on a limited set of predefined persuasive strategies that fail to capture the complexity of real-world intera…
User Willingness-aware Sales Talk Dataset
Asahi Hentona, Jun Baba, Shiki Sato +1
User willingness is a crucial element in the sales talk process that affects the achievement of the salesperson's or sales system's objectives. Despite the importance of user willi…
Detecting Response Generation Not Requiring Factual Judgment
Ryohei Kamei, Daiki Shiono, Reina Akama +1
With the remarkable development of large language models (LLMs), ensuring the factuality of output has become a challenge. However, having all the contents of the response with giv…
A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems
Shiki Sato, Reina Akama, Jun Suzuki +1
Mitigating the generation of contradictory responses poses a substantial challenge in dialogue response generation. The quality and quantity of available contradictory response dat…
Bipartite-play Dialogue Collection for Practical Automatic Evaluation of Dialogue Systems
Shiki Sato, Yosuke Kishinami, Hiroaki Sugiyama +3
Automation of dialogue system evaluation is a driving force for the efficient development of dialogue systems. This paper introduces the bipartite-play method, a dialogue collectio…
Target-Guided Open-Domain Conversation Planning
Yosuke Kishinami, Reina Akama, Shiki Sato +3
Prior studies addressing target-oriented conversational tasks lack a crucial notion that has been intensively studied in the context of goal-oriented artificial intelligence agents…
N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models
Shiki Sato, Reina Akama, Hiroki Ouchi +3
Avoiding the generation of responses that contradict the preceding context is a significant challenge in dialogue response generation. One feasible method is post-processing, such…
Evaluating Dialogue Generation Systems via Response Selection
Shiki Sato, Reina Akama, Hiroki Ouchi +2
Existing automatic evaluation metrics for open-domain dialogue response generation systems correlate poorly with human evaluation. We focus on evaluating response generation system…
Word Rotator's Distance
Sho Yokoi, Ryo Takahashi, Reina Akama +2
A key principle in assessing textual similarity is measuring the degree of semantic overlap between two texts by considering the word alignment. Such alignment-based approaches are…
Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness
Reina Akama, Sho Yokoi, Jun Suzuki +1
Large-scale dialogue datasets have recently become available for training neural dialogue agents. However, these datasets have been reported to contain a non-negligible number of u…
Unsupervised Learning of Style-sensitive Word Vectors
Reina Akama, Kento Watanabe, Sho Yokoi +2
This paper presents the first study aimed at capturing stylistic similarity between words in an unsupervised manner. We propose extending the continuous bag of words (CBOW) model (…