Open-Domain Response Generation in Low-Resource Settings Using Self-Supervised Pre-Training of Warm-Started Transformers
Learning response generation models constitute the main component of building open-
domain dialogue systems. However, training open-domain response generation models …
domain dialogue systems. However, training open-domain response generation models …
Mixture-of-Languages Routing for Multilingual Dialogues
We consider multilingual dialogue systems and ask how the performance of a dialogue
system can be improved by using information that is available in other languages than the …
system can be improved by using information that is available in other languages than the …
Contrastive Adversarial Training for Multi-Modal Machine Translation
The multi-modal machine translation task is to improve translation quality with the help of
additional visual input. It is expected to disambiguate or complement semantics while there …
additional visual input. It is expected to disambiguate or complement semantics while there …
Generative AI in Multimodal Cross-Lingual Dialogue System for Inclusive Communication Support
Advancements in natural language processing have enhanced dialogue systems, making
them vital for inclusive technology that facilitates accessible interactions across diverse user …
them vital for inclusive technology that facilitates accessible interactions across diverse user …
Combining BERT Model with Semi‐Supervised Incremental Learning for Heterogeneous Knowledge Fusion of High‐Speed Railway On‐Board System
L Zhou, Z Zhao, J Dang - Computational Intelligence and …, 2022 - Wiley Online Library
On‐board system fault knowledge base (KB) is a collection of fault causes, maintenance
methods, and interrelationships among on‐board modules and components of high‐speed …
methods, and interrelationships among on‐board modules and components of high‐speed …
Combining BERT Model with Semi-Supervised Incremental Learning for Heterogeneous Knowledge Fusion of High-Speed Railway On-Board System
Z Lu-jie, Z Zhi-peng, D Jian-wu - … and Neuroscience: CIN, 2022 - search.proquest.com
On-board system fault knowledge base (KB) is a collection of fault causes, maintenance
methods, and interrelationships among on-board modules and components of high-speed …
methods, and interrelationships among on-board modules and components of high-speed …
[CITATION][C] Research Article Combining BERT Model with Semi-Supervised Incremental Learning for Heterogeneous Knowledge Fusion of High-Speed Railway On …
L Zhou, Z Zhao, J Dang - 2022