Aug 6, 2021 · Specifically, we present EMS, an Enhanced di- alogue evaluation Metric in latent Space. Ex- perimental results on two real-world dialogue.
The ACL Anthology is managed and built by the ACL Anthology team of volunteers. Site last built on 17 November 2024 at 13:16 UTC with commit ...
This paper proposes a self-supervised setting to obtain a smooth latent space that can both capture discourse-level context information and implicitly model ...
Enhancing the Open-Domain Dialogue Evaluation in Latent Space. Findings (ACL) 2021 · Zhangming Chan, Lemao Liu, Juntao Li, Haisong Zhang, Dongyan Zhao ...
Sep 5, 2024 · The long-standing one-to-many issue of the open-domain dialogues poses significant challenges for automatic evaluation methods, i.e., ...
Jun 10, 2023 · To tackle this challenge, we propose a novel learning-based automatic evaluation metric (CMN), which can robustly evaluate open-domain dialogues ...
... Another way for automatic evaluation is to evaluate the quality of dialogue contents One is reference-based evaluation, which measures the similarity ...
May 26, 2023 · We propose a novel learning-based automatic evaluation metric (CMN), which can robustly evaluate open-domain dialogues by augmenting Conditional Variational ...
Missing: Enhancing | Show results with:Enhancing
Enhancing the Open-Domain Dialogue Evaluation in Latent Space · no code implementations • Findings (ACL) 2021 • Zhangming Chan, Lemao Liu, Juntao Li, Haisong ...
This paper proposes holistic evaluation metrics that capture different aspects of open-domain dialogues and demonstrates the empirical validity of the metrics.