8 citations · 13 across the 6 of their papers we have counts for
6 papers
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex
Yasushi Esaki, Akihiro Nakamura, Keisuke Kawano +2
Classification models based on deep neural networks (DNNs) must be calibrated to measure the reliability of predictions. Some recent calibration methods have employed a probabilist…
Chat Translation Error Detection for Assisting Cross-lingual Communications
Yunmeng Li, Jun Suzuki, Makoto Morishita +4
In this paper, we describe the development of a communication support system that detects erroneous translations to facilitate crosslingual communications due to the limitations of…
StyleDiff: Attribute Comparison Between Unlabeled Datasets in Latent Disentangled Space
Keisuke Kawano, Takuro Kutsuna, Ryoko Tokuhisa +2
One major challenge in machine learning applications is coping with mismatches between the datasets used in the development and those obtained in real-world applications. These mis…
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…