Abstract
This paper presents the system developed to detect the contextual emotion (SemEval19 Task 3 (Chatterjee et al., 2019)) from conversational dialogue. The system models the fact that emotion of a dialogue depends on the context of the conversation and not independent. It uses multiple layers in the deep learning model where each layer bootstraps with the context of what has already been said in the conversation.
Cite
CITATION STYLE
Maity, S. (2019). TDBot at SemEval-2019 task 3: Context aware emotion detection using a conditioned classification approach. In NAACL HLT 2019 - International Workshop on Semantic Evaluation, SemEval 2019, Proceedings of the 13th Workshop (pp. 335–339). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s19-2058
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