Zero-shot multitask intent and emotion prediction from multimodal data: A benchmark study

Author:

Singh Gopendra VikramORCID,Firdaus MauajamaORCID,Chauhan Dushyant SinghORCID,Ekbal AsifORCID,Bhattacharyya PushpakORCID

Funder

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference75 articles.

1. M. Firdaus, H. Chauhan, A. Ekbal, P. Bhattacharyya, MEISD: a multimodal multi-label emotion, intensity and sentiment dialogue dataset for emotion recognition and sentiment analysis in conversations, in: Proceedings of the 28th International Conference on Computational Linguistics, 2020, pp. 4441–4453.

2. EmoSen: Generating sentiment and emotion controlled responses in a multimodal dialogue system;Firdaus;IEEE Trans. Affect. Comput.,2020

3. M. Firdaus, H. Chauhan, A. Ekbal, P. Bhattacharyya, More the merrier: Towards multi-emotion and intensity controllable response generation, in: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 35, (14) 2021, pp. 12821–12829.

4. N. Majumder, S. Poria, D. Hazarika, R. Mihalcea, A. Gelbukh, E. Cambria, DialogueRNN: An Attentive RNN for Emotion Detection in Conversations, in: The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, the Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, the Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, Vol. 33, 2019, pp. 6818–6825.

5. D. Ghosal, N. Majumder, S. Poria, N. Chhaya, A. Gelbukh, DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation, in: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, 2019, pp. 154–164.

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