Knowledge-based BERT word embedding fine-tuning for emotion recognition

Author:

Zhu Zixiao,Mao Kezhi

Funder

National Research Foundation Singapore

Eidgenössische Technische Hochschule Zürich

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference55 articles.

1. N. Alswaidan, M.E.B. Menai, A survey of state-of-the-art approaches for emotion recognition in text, Knowl. Inform. Syst. 62 (8).

2. Emotion knowledge: further exploration of a prototype approach;Shaver;J. Personality Soc. Psychol.,1987

3. S. Shaheen, W. El-Hajj, H. Hajj, S. Elbassuoni, Emotion recognition from text based on automatically generated rules, in: 2014 IEEE International Conference on Data Mining Workshop, IEEE, 383–392, 2014.

4. J. Wieting, M. Bansal, K. Gimpel, K. Livescu, Towards universal paraphrastic sentence embeddings, arXiv preprint arXiv:1511.08198.

5. T. Mikolov, K. Chen, G. Corrado, J. Dean, Efficient estimation of word representations in vector space, arXiv preprint arXiv:1301.3781.

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