Detection of Emphasis Words in Short Texts – A Context Aware Label Distribution Learning Approach

Author:

Meghana ,Das Bhaskarjyoti

Publisher

Springer Singapore

Reference21 articles.

1. Zhang, M.L., Li, Y.K., Liu, X.Y., et al.: Binary relevance for multi-label learning: an overview. Front. Comput. Sci. 12, 191–202 (2018)

2. Geng, X.: Label distribution learning. IEEE Trans. Knowl. Data Eng. 28(7), 1734–1748 (2016)

3. Shen W., Zhao, K., Guo, Y., Yuille, A.L.: Label distribution learning forests. In: Advances in Neural Information Processing Systems, pp. 834–843 (2017)

4. Geng, X., Hou, P.: Pre-release prediction of crowd opinion on movies by label distribution learning. In: IJCAI, pp. 3511–3517 (2015)

5. Gao, B., Xing, C., Xie, C., Wu, J., Geng, X.: Deep label distribution learning with label ambiguity. IEEE Trans. Image Process. 26(6), 2825–2838 (2017)

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