Abstract
This report analyzes the problem of spoken language understanding, how the problem is simplified in the NLPCC shared task, and the properties of the official datasets. It also describes the system we developed for the shared task and provides experimental analysis that explains how promising results could be achieved by careful usage of standard machine learning and natural language processing techniques and external resources.
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CITATION STYLE
Gong, N., Shen, T., Wang, T., Qi, D., Li, M., Wang, J., & Li, C. H. (2018). The Sogou Spoken Language Understanding System for the NLPCC 2018 Evaluation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11108 LNAI, pp. 454–463). Springer Verlag. https://doi.org/10.1007/978-3-319-99495-6_38
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