EmoContext

我们经常会经历快乐、愤怒、悲伤等情绪。作为人类，在阅读“你为什么不给我发短信！”时，我们可以在没有上下文的情况下将其解释为悲伤或愤怒的情绪；机器也存在同样的歧义。缺乏面部表情和语音调制使得检测文本中的情绪成为一个具有挑战性的问题。然而，随着我们越来越多地使用文本消息应用程序和数字代理进行交流，文本中的上下文情感检测对于向用户提供情感感知响应变得越来越重要。我们的共同任务旨在为文本中的上下文情感检测问题带来更多研究。
我们还意识到，许多参与者可能是 Codalab 的第一次用户，和/或不是高级机器学习专家。我们的任务旨在帮助您涉足该领域，只需遵循我们的“如何开始？”部分，我们将帮助您完成。

We often experience emotions such as happiness, anger, sadness, and others. As human beings, when encountering the utterance "Why didn't you text me!", we can interpret it as conveying sadness or anger even without contextual information; machines face the same ambiguity. The absence of facial expressions and vocal modulation renders emotion detection in text a challenging task. However, as we increasingly communicate via text messaging applications and digital agents, contextual emotion detection in text has become increasingly critical for generating emotion-aware responses for users. Our shared task aims to advance research on the problem of contextual emotion detection in text.

We also recognize that many participants may be first-time users of Codalab and/or not advanced machine learning experts. Our task is designed to help you get started in this field—simply follow our "How to Get Started?" section, and we will walk you through the entire process.

搜集汇总

背景与挑战

背景概述

EmoContext是一个用于文本中上下文情感检测的数据集，旨在通过对话内容识别情感，如快乐、愤怒、悲伤等。该数据集由微软于2019年发布，适用于自然语言处理领域的研究和应用。