1. Paper title

The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded Conversational Agents

2. link

https://www.aclweb.org/anthology/2020.acl-main.222.pdf

3. 摘要

We introduce dodecaDialogue: a set of 12 tasks that measures if a conversational agent can communicate engagingly with personality and empathy, ask questions, answer questions by utilizing knowledge resources, discuss topics and situations, and perceive and converse about images. By multi-tasking on such a broad large-scale set of data, we hope to both move towards and measure progress in producing a single unified agent that can perceive, reason and converse with humans in an open-domain setting. We show that such multi-tasking improves over a BERT pretrained baseline, largely due to multi-tasking with very large dialogue datasets in a similar domain, and that the multi-tasking in general provides gains to both text and image-based tasks using several metrics in both the finetune and task transfer settings. We obtain stateof-the-art results on many of the tasks, providing a strong baseline for this challenge.

4. 要解决什么问题

无

5. 作者的主要贡献

dodecaDialogue：在一个模型上同时训练12个模型。

6. 得到了什么结果

多任务训练的结果在多个任务上优于单个任务。

7. 关键字

多任务训练，open-domain