RECCON:该存储库包含论文“识别对话中的情感原因”中的数据集和模型的PyTorch实现。
RECCON：识别对话中的情感原因
该存储库包含论文“的数据集和模型的pytorch实现。
任务概述
给定一个用情感E标记的话语U，任务是从对话历史记录H中提取因果跨度S（包括话语U），该因果跨度S足以表示情感E的原因。
数据集
原始带注释的数据集可以在data/original_annotation文件夹中的json文件中找到。 可以在data/subtask1/和data/subtask2/文件夹中找到带有因果提取和因果情感任务的负面示例的数据集。
资料格式
DailyDialog和IEMOCAP的注释和对话可从 。json获得。 JSON文件中的每个实例都分配了一个标识符（例如“ tr_10180”），该标识符是一个列表，其中包含针对每种话语的以下各项的字典：
钥匙
价值
turn
话语指数从1.开始
speaker
目标话语的说话者。
utterance
话语文字。
文件下载
资源详情
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