Sentiment-Driven Breakdown Detection Model Using Contextual Embedding ElMo

Author:

Almansor Ebtesam Hussain,Hussain Farookh Khadeer

Publisher

Springer International Publishing

Reference19 articles.

1. Tsunomori, Y., Higashinaka, R., Takahashi, T., Inaba, M.: Evaluating dialogue breakdown detection in chat-oriented dialogue systems (2018)

2. Takayama, J., Nomoto, E., Arase, Y.: Dialogue breakdown detection considering annotation biases. In: Proceedings of the Dialog System Technology Challenge 6 Workshop (DSTC6) (2017)

3. Ge, L., Moh, T.-S.: Improving text classification with word embedding. In: 2017 IEEE International Conference on Big Data (Big Data), pp. 1796–1805. IEEE (2017)

4. Mikolov, T., Le, Q.V., Sutskever, I.: Exploiting similarities among languages for machine translation. arXiv preprint arXiv:1309.4168 (2013)

5. Pennington, J., Socher, R., Manning, C.D.: GloVe: global vectors for word representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1532–1543 (2014)

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