Abstract
Most existing recognition methods of multi-category words merely focus on the area of traditional Chinese words rather than the area of electronic commerce. In this paper, we propose an effective method on how to recognize Chinese multi-category words in electronic commerce using Conditional Random Field. Experimental results show that our method remarkably enhances the accuracy of the recognition, reduces the misunderstanding and improves the user experience of electronic commerce retrieval.
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Acknowledgment
This work was supported by the National Natural Science Foundation of China under Grant No. 61300043.
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Fei, F., Yang, Y., Xu, W., Yang, Y. (2015). An Effective Resolution Method of Chinese Multi-category Words with Conditional Random Field in Electronic Commerce. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9490. Springer, Cham. https://doi.org/10.1007/978-3-319-26535-3_64
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DOI: https://doi.org/10.1007/978-3-319-26535-3_64
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