情感的细粒度捕捉是很重要的,图1给出了一个基准数据集EMPATHETICDIALOGUES的例子。值得注意的是,Utterance 1(即 "new"、"job")和Utterance 2(即 "amazing"、"excited")以及Utterance 3(即"excited")中的情感词具有细粒度的情感联系。 图1 数据集EMPATHETICDIALOGUES中的一个共情对话的例子。与情感相关的词以蓝色...
除了识别用户的情感外,需要将用户的状况situation考虑进去。 Contribution: 提出了一种从常识中获取更多信息的共情答复产生方法CEM,在EMPATHETICDIALOGUES数据集上取得了SOTA。 Task: Empathetic Dialogue Generation。Our goal is to generate the listener’s next utterance which is coherent to the context, informative,...
EmpatheticDialogues PyTorch original implementation of Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset (https://arxiv.org/abs/1811.00207). We provide a novel dataset of 25k conversations grounded in emotional situations. The code in this repo demonstrates that automated ...
The EmpatheticDialogues dataset is a large-scale multi-turn empathetic dialogue dataset collected on the Amazon Mechanical Turk, containing 24,850 one-to-one open-domain conversations. Each conversation was obtained by pairing two crowd-workers: a speake
Extensive experiments on the benchmark dataset EMPATHETICDIALOGUES demonstrate that our model outperforms current state-of-the-art empathetic dialogue models in both automatic and human evaluations.Zhang, PengfeiNortheastern UniversityHan, DonghongNortheastern UniversityZhao, Deji...
将EmpatheticDialogues数据集中的对话与通过小爱同学收集的真实在线对话进行对比。发现在EmpatheticDialogues数据集中,89%的对话以说话者表达他们的情绪原因开始,但只有7%的在线日志包含用户的情绪原因。换句话说,在线用户往往不会主动披露他们的情绪原因,而且如果聊天机器人没有明确询问,他们可能不会透露原因。
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For example, a model trained on the EmpatheticDialogues [3] dataset generates a reply: ‘I’ve never heard of that. I guess its pretty embarrassing.’ whereas our dataset replies with: ‘I can see this has upset you. Is there anything I could do for you?’ Many researchers ([5], [...
In multi-turn empathetic dialogues, the implicit features such as cognition, affection, and behavior, expressed in the utterances, are not static. Instead,... Y Liu,D Wang,S Feng,... - Asia-pacific Web & Web-age Information Management Joint International Conference on Web & Big Data 被引...
对于对话机器人来说,识别用户的情绪和生成回复的共情回复是一项很重要的挑战。但是由于缺少相应的数据集很难进行下去。这篇文章提供了一个新的共情对话Benchmark和一个相应的数据集EMPATHETICDIALOGUES。 1 Introduction 提出的数据集如图1所示,是众包所得,给定了情绪标签和情景,每个参与者要在给定情绪标签和情景下进行几...