Search Results for author: Ryoko Tokuhisa

Found 8 papers, 3 papers with code

Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex

no code implementations21 Feb 2024 Yasushi Esaki, Akihiro Nakamura, Keisuke Kawano, Ryoko Tokuhisa, Takuro Kutsuna

We propose an accuracy-preserving calibration method using the Concrete distribution as the probabilistic model on the probability simplex.

Chat Translation Error Detection for Assisting Cross-lingual Communications

1 code implementation2 Aug 2023 Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Ryoko Tokuhisa, Ana Brassard, Kentaro Inui

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 current machine chat translation methods.

Translation

StyleDiff: Attribute Comparison Between Unlabeled Datasets in Latent Disentangled Space

no code implementations9 Mar 2023 Keisuke Kawano, Takuro Kutsuna, Ryoko Tokuhisa, Akihiro Nakamura, Yasushi Esaki

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.

Attribute

Bipartite-play Dialogue Collection for Practical Automatic Evaluation of Dialogue Systems

no code implementations19 Nov 2022 Shiki Sato, Yosuke Kishinami, Hiroaki Sugiyama, Reina Akama, Ryoko Tokuhisa, Jun Suzuki

Automation of dialogue system evaluation is a driving force for the efficient development of dialogue systems.

Target-Guided Open-Domain Conversation Planning

1 code implementation COLING 2022 Yosuke Kishinami, Reina Akama, Shiki Sato, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui

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, namely, planning.

Retrieval

N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models

1 code implementation SIGDIAL (ACL) 2022 Shiki Sato, Reina Akama, Hiroki Ouchi, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui

In this scenario, the quality of the n-best list considerably affects the occurrence of contradictions because the final response is chosen from this n-best list.

Response Generation

Cannot find the paper you are looking for? You can Submit a new open access paper.