Language Models as Emotional Classifiers for Textual Conversation

Author:

Heaton Connor T.1,Schwartz David M.1

Affiliation:

1. Pennsylvania State University, State College, PA, USA

Publisher

ACM

Reference22 articles.

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2. Chen S.-Y. Hsu C.-C. Kuo C.-C. Ku L.-W. etal Emotionlines: An emotion corpus of multi-party conversations. arXiv preprint arXiv:1802.08379 (2018). Chen S.-Y. Hsu C.-C. Kuo C.-C. Ku L.-W. et al. Emotionlines: An emotion corpus of multi-party conversations. arXiv preprint arXiv:1802.08379 (2018).

3. Clark K. Khandelwal U. Levy O. and Manning C. D. What does bert look at? an analysis of bert?s attention. arXiv preprint arXiv:1906.04341 (2019). Clark K. Khandelwal U. Levy O. and Manning C. D. What does bert look at? an analysis of bert?s attention. arXiv preprint arXiv:1906.04341 (2019).

4. Devlin J. Chang M.-W. Lee K. and Toutanova K. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018). Devlin J. Chang M.-W. Lee K. and Toutanova K. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).

5. Ekman P. and Friesen W. V. Constants across cultures in the face and emotion. Journal of personality and social psychology 17 2 (1971) 124. Ekman P. and Friesen W. V. Constants across cultures in the face and emotion. Journal of personality and social psychology 17 2 (1971) 124.

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