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Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding, , , , , , , , , и 1 other автор(ы). Audio, Speech, and Language Processing, IEEE/ACM Transactions on, 23 (3): 530--539 (2015)A low power and high gain current-reused LNA using cascaded L-type input matching network., , , , , и . Microelectron. J., (2018)Use of kernel deep convex networks and end-to-end learning for spoken language understanding., , , и . SLT, стр. 210-215. IEEE, (2012)Random features for Kernel Deep Convex Network., , , и . ICASSP, стр. 3143-3147. IEEE, (2013)Detecting actionable items in meetings by convolutional deep structured semantic models., , и . ASRU, стр. 375-382. IEEE, (2015)Incremental Learning for End-to-End Automatic Speech Recognition., , , , , , и . ASRU, стр. 320-327. IEEE, (2021)Table Cell Search for Question Answering., , , , , и . WWW, стр. 771-782. ACM, (2016)UFO2: A Unified Pre-Training Framework for Online and Offline Speech Recognition., , , , , , , и . ICASSP, стр. 1-5. IEEE, (2023)Cross-modal Contrastive Distillation for Instructional Activity Anticipation., , , , , , и . ICPR, стр. 5002-5009. IEEE, (2022)Attentive Tensor Product Learning., , , , и . AAAI, стр. 1344-1351. AAAI Press, (2019)