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Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding, , , , , , , , , and 1 other author(s). Audio, Speech, and Language Processing, IEEE/ACM Transactions on, 23 (3): 530--539 (2015)Use of kernel deep convex networks and end-to-end learning for spoken language understanding., , , and . SLT, page 210-215. IEEE, (2012)A low power and high gain current-reused LNA using cascaded L-type input matching network., , , , , and . Microelectron. J., (2018)Detecting actionable items in meetings by convolutional deep structured semantic models., , and . ASRU, page 375-382. IEEE, (2015)Random features for Kernel Deep Convex Network., , , and . ICASSP, page 3143-3147. IEEE, (2013)Attentive Tensor Product Learning., , , , and . AAAI, page 1344-1351. AAAI Press, (2019)Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation., , , , , and . AAAI, page 8465-8472. AAAI Press, (2019)Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents., , , , , and . AAAI, page 9073-9080. AAAI Press, (2020)Learning to Predict Charges for Legal Judgment via Self-Attentive Capsule Network., , , , , and . ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 1802-1809. IOS Press, (2020)A Novel Vector-Field-Based Motion Planning for 3D Nonholonomic Robots., , and . CoRR, (2023)