1. Spoken Language Understanding: Systems for Extracting Semantic Information from Speech;Tur,2011
2. A survey on spoken language understanding: Recent advances and new frontiers;Qin,2021
3. Y. Wang, Y. Shen, H. Jin, A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling, in: Proceedings of NAACL-HLT, 2018, pp. 309–314.
4. L. Qin, W. Che, Y. Li, H. Wen, T. Liu, A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding, in: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP, 2019, pp. 2078–2087.
5. BERT for joint intent classification and slot filling;Chen,2019