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    <abstract>This paper describes our participation in the SemEval 2019 Task 3 - Contextual Emotion Detection in Text. This task aims to identify emotions, viz. happiness, anger, sadness in the context of a text conversation. Our system is a stacked Bidirectional LSTM, equipped with attention on top of word embeddings pre-trained on a large collection of Twitter data. In this paper, apart from describing our official submission, we elucidate how different deep learning models respond to this task.</abstract>
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%0 Conference Proceedings
%T EMOMINER at SemEval-2019 Task 3: A Stacked BiLSTM Architecture for Contextual Emotion Detection in Text
%A Chakravartula, Nikhil
%A Indurthi, Vijayasaradhi
%S Proceedings of the 13th International Workshop on Semantic Evaluation
%D 2019
%8 jun
%I Association for Computational Linguistics
%C Minneapolis, Minnesota, USA
%F chakravartula-indurthi-2019-emominer
%X This paper describes our participation in the SemEval 2019 Task 3 - Contextual Emotion Detection in Text. This task aims to identify emotions, viz. happiness, anger, sadness in the context of a text conversation. Our system is a stacked Bidirectional LSTM, equipped with attention on top of word embeddings pre-trained on a large collection of Twitter data. In this paper, apart from describing our official submission, we elucidate how different deep learning models respond to this task.
%R 10.18653/v1/S19-2033
%U https://aclanthology.org/S19-2033
%U https://doi.org/10.18653/v1/S19-2033
%P 205-209

Markdown (Informal)

[EMOMINER at SemEval-2019 Task 3: A Stacked BiLSTM Architecture for Contextual Emotion Detection in Text](https://aclanthology.org/S19-2033) (Chakravartula & Indurthi, SemEval 2019)

• EMOMINER at SemEval-2019 Task 3: A Stacked BiLSTM Architecture for Contextual Emotion Detection in Text (Chakravartula & Indurthi, SemEval 2019)

ACL

• Nikhil Chakravartula and Vijayasaradhi Indurthi. 2019. EMOMINER at SemEval-2019 Task 3: A Stacked BiLSTM Architecture for Contextual Emotion Detection in Text. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 205–209, Minneapolis, Minnesota, USA. Association for Computational Linguistics.