EmoContext : A SHARED TASK AT SEMEvaL 2019

HUMANIZING AI
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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!  

Task Description

In 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. ​
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Register and Participate

Get started by registering your team at codalab here. You can find a baseline system, evaluation scripts etc. to get kickstarted.
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Data Set

The 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 released as well. Data set can be accessed by joining LinkedIn group here.​

Travel Grant

We will be offering Travel Grants to eligible participants of the task​. There are several constraints on the grant, please contact us for more details. 
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  • EmoContext
    • EmoContext Organizers
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