ConSSED at SemEval-2019 Task 3: Configurable Semantic and Sentiment Emotion Detector
Rafał Poświata · 2019
This paper describes our system participating in the SemEval-2019 Task 3: EmoContext: Contextual Emotion Detection in Text.The goal was to for a given textual dialogue, i.e. a user utterance along with two turns of context, identify the emotion of user utterance as one of the emotion classes: Happy, Sad, Angry or Others.Our system: ConSSED is a configurable combination of semantic and sentiment neural models.The official task submission achieved a micro-average F1 score of 75.31 which placed us 16th out of 165 participating systems.