When you read, "Why don't you ever text me", does it conveys an angry emotion or sad emotion?
Understanding Emotions in Textual Conversations is a hard problem in absence of voice modulations and facial expressions. Our shared task, "EmoContext" is designed to invite research in this area. Whether you are an expert in this field, or trying to learn the ropes of Natural Language Processing or Deep Learning, dive in and participate! The shared task is also designed to encourage young researchers to get started, so just ask if you have a doubt, and we will help you out!
Understanding Emotions in Textual Conversations is a hard problem in absence of voice modulations and facial expressions. Our shared task, "EmoContext" is designed to invite research in this area. Whether you are an expert in this field, or trying to learn the ropes of Natural Language Processing or Deep Learning, dive in and participate! The shared task is also designed to encourage young researchers to get started, so just ask if you have a doubt, and we will help you out!
Task DescriptionIn this task, you are given a textual dialogue i.e. a user utterance along with two turns of context, you have to classify the emotion of user utterance as one of the emotion classes: Happy, Sad, Angry or Others.
Register and ParticipateGet started with registering your team at codalab here. You can find a baseline system, evaluation scripts etc. to get kickstarted.
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Data SetThe training data set will contain 15K records for emotion classes i.e., Happy, Sad and Angry combined. It also contains 15K records not belonging to any of the aforementioned emotion classes. Test Data will be also released. Data set can be accessed by joining LinkedIn group here.
Travel GrantWe will be offering one Travel Grant to eligible participants of the task. Contact us for more details.
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