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Dynamically Context-sensitive Time-decay Attention for Dialogue Modeling.

, , and . ICASSP, page 7200-7204. IEEE, (2019)

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Learning Context-Sensitive Time-Decay Attention for Role-Based Dialogue Modeling., , and . CoRR, (2018)Learning ASR-Robust Contextualized Embeddings for Spoken Language Understanding., and . CoRR, (2019)Bootstrapping Text-to-Speech for speech processing in languages without an orthography., , , , and . ICASSP, page 7992-7996. IEEE, (2013)Dynamically Context-sensitive Time-decay Attention for Dialogue Modeling., , and . ICASSP, page 7200-7204. IEEE, (2019)Zero-shot learning of intent embeddings for expansion by convolutional deep structured semantic models., , and . ICASSP, page 6045-6049. IEEE, (2016)Investigating Linguistic Pattern Ordering In Hierarchical Natural Language Generation., and . SLT, page 779-786. IEEE, (2018)An Intelligent Assistant for High-Level Task Understanding., , and . IUI, page 169-174. ACM, (2016)Spoken Knowledge Organization by Semantic Structuring and a Prototype Course Lecture System for Personalized Learning., , , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 22 (5): 881-896 (2014)Adapting Pretrained Transformer to Lattices for Spoken Language Understanding., and . ASRU, page 845-852. IEEE, (2019)Dialogue Environments are Different from Games: Investigating Variants of Deep Q-Networks for Dialogue Policy., and . ASRU, page 1070-1076. IEEE, (2019)