Towards Sentiment-Aware Multi-Modal Dialogue Policy Learning

Author:

Saha Tulika,Saha Sriparna,Bhattacharyya Pushpak

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Reference42 articles.

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2. Acosta JC, Ward NG. Achieving rapport with turn-by-turn, user-responsive emotional coloring. Speech Communication 2011;53(9-10):1137–1148. https://doi.org/10.1016/j.specom.2010.11.006.

3. Cambria E, Speer R, Havasi C, Hussain A. 2010. Senticnet: A publicly available semantic resource for opinion mining. In: 2010 AAAI Fall Symposium Series.

4. Cambria E, Olsher D, Rajagopal D. 2014. Senticnet 3: A common and common-sense knowledge base for cognition-driven sentiment analysis. In: Twenty-eighth AAAI conference on artificial intelligence.

5. Cambria E, Fu J, Bisio F, Poria S. 2015. Affectivespace 2: Enabling affective intuition for concept-level sentiment analysis. In: Twenty-ninth AAAI conference on artificial intelligence.

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