KACE: Generating knowledge aware contrastive explanations for natural language inference
In order to better understand the reason behind model behaviors (ie, making predictions),
most recent works have exploited generative models to provide complementary …
most recent works have exploited generative models to provide complementary …
[PDF][PDF] KACE: Generating Knowledge-Aware Contrastive Explanations for Natural Language Inference
Q Chen, F Ji, X Zeng, FL Li, J Zhang, H Chen, Y Zhang - researchgate.net
In order to better understand the reason behind model behaviors (ie, making predictions),
most recent work has exploited generative models to provide complementary explanations …
most recent work has exploited generative models to provide complementary explanations …
[PDF][PDF] KACE: Generating Knowledge-Aware Contrastive Explanations for Natural Language Inference
Q Chen, F Ji, X Zeng, FL Li, J Zhang, H Chen, Y Zhang - scholar.archive.org
In order to better understand the reason behind model behaviors (ie, making predictions),
most recent work has exploited generative models to provide complementary explanations …
most recent work has exploited generative models to provide complementary explanations …
[PDF][PDF] KACE: Generating Knowledge-Aware Contrastive Explanations for Natural Language Inference
Q Chen, F Ji, X Zeng, FL Li, J Zhang, H Chen, Y Zhang - academia.edu
In order to better understand the reason behind model behaviors (ie, making predictions),
most recent work has exploited generative models to provide complementary explanations …
most recent work has exploited generative models to provide complementary explanations …