Papers with dialog generation model
Generating Dialogue Responses from a Semantic Latent Space (2020.emnlp-main)
Copied to clipboard
| Challenge: | Existing models for dialogue generation are unable to integrate information from multiple semantically similar valid responses of a given prompt. |
| Approach: | They propose to learn the pair relationship between the prompts and responses as a regression task instead of the end-to-end classification on vocabulary. |
| Outcome: | The proposed model learns the pair relationship between the prompts and responses on a latent space instead of the end-to-end classification on vocabulary. |
XDailyDialog: A Multilingual Parallel Dialogue Corpus (2023.acl-long)
Copied to clipboard
Zeming Liu, Ping Nie, Jie Cai, Haifeng Wang, Zheng-Yu Niu, Peng Zhang, Mrinmaya Sachan, Kaiping Peng
| Challenge: | Existing datasets for open-domain dialogue modeling limited to a single language . absence of multilingual datasets hinders development of robust open- domain dialog systems . |
| Approach: | They propose a multilingual parallel open-domain dialog dataset to explore multilingual and cross-lingual open- domain dialog. |
| Outcome: | The proposed model can be used to explore multilingual and cross-lingual open-domain dialogs in other languages. |