论文标题
建立与互联网模因结合的开放域对话系统
Towards Building an Open-Domain Dialogue System Incorporated with Internet Memes
论文作者
论文摘要
近年来，互联网模因已被广泛用于在线聊天中。与基于文本的沟通相比，当融合了互联网模因时，对话变得更具表现力和吸引力。本文介绍了我们针对DSTC10的Meme Incorme Ounder的开放域对话（MOD）挑战的解决方案，其中涉及三个任务：文本响应建模，模因检索和模因情感分类。首先，我们利用大规模的预训练对话模型来创造一致且内容丰富的响应。其次，基于基于交互的文本匹配，我们的方法可以以良好的概括能力检索适当的模因。第三，我们建议在对话中对情绪流（EF）进行建模，并引入情感描述预测（EDP）的辅助任务，以提高模因情感分类的性能。 MOD数据集的实验结果表明，我们的方法可以有效地将Internet模因纳入对话系统中。
In recent years, Internet memes have been widely used in online chatting. Compared with text-based communication, conversations become more expressive and attractive when Internet memes are incorporated. This paper presents our solutions for the Meme incorporated Open-domain Dialogue (MOD) Challenge of DSTC10, where three tasks are involved: text response modeling, meme retrieval, and meme emotion classification. Firstly, we leverage a large-scale pre-trained dialogue model for coherent and informative response generation. Secondly, based on interaction-based text-matching, our approach can retrieve appropriate memes with good generalization ability. Thirdly, we propose to model the emotion flow (EF) in conversations and introduce an auxiliary task of emotion description prediction (EDP) to boost the performance of meme emotion classification. Experimental results on the MOD dataset demonstrate that our methods can incorporate Internet memes into dialogue systems effectively.
