Semantic Word Segmenting Technique Based on Artificial Bee Colony Algorithm
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-69717-4_38
Reference22 articles.
1. Yu, C., Wang, S., Guo, J.: Learning Chinese word segmentation based on bidirectional GRU-CRF and CNN network model. Int. J. Technol. Hum. Interact. (IJTHI) 15(3), 47–62 (2019)
2. He, H., Wu, L., Yan, H., Gao, Z., Feng, Y., Townsend, G.: Effective neural solution for multi-criteria word segmentation. In: Satapathy, S., Bhateja, V., Das, S. (eds.) Smart Intelligent Computing and Applications. Smart Innovation, Systems and Technologies, vol. 105, pp. 133–142. Springer, Singapore (2019)
3. Ruan, S., He, G., Yu, D.: Implementation of a Chinese word segmentation in big data environment. In: International Conference on Intelligent Human-Machine Systems and Cybernetics, pp. 34–38. IEEE (2016)
4. Liu, J., Wu, F., Wu, C., Huang, Y., Xie, X.: Neural Chinese word segmentation with dictionary. Neurocomputing 338, 46–54 (2019)
5. Deng, X., Sun, Y.: An improved embedding matching model for Chinese word segmentation. In: International Conference on Artificial Intelligence, pp. 195–200. IEEE (2018)
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