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SLU for Voice Command in Smart Home: Comparison of Pipeline and End-to-End Approaches., , and . ASRU, page 822-829. IEEE, (2019)Event Prominence Extraction Combining a Knowledge-Based Syntactic Parser and a BERT Classifier for Dutch., , and . RANLP, page 346-357. INCOMA Ltd., (2021)A Hybrid Knowledge and Transformer-Based Model for Event Detection with Automatic Self-Attention Threshold, Layer and Head Selection., , and . CASE@EMNLP, page 21-31. Association for Computational Linguistics, (2022)Corpus Generation for Voice Command in Smart Home and the Effect of Speech Synthesis on End-to-End SLU., , and . LREC, page 6395-6404. European Language Resources Association, (2020)Context-Aware Voice-Based Interaction in Smart Home - VocADom@A4H Corpus Collection and Empirical Assessment of Its Usefulness., , , , , , , and . DASC/PiCom/DataCom/CyberSciTech, page 811-818. IEEE, (2019)Towards End-to-End spoken intent recognition in smart home., , and . SpeD, page 1-8. IEEE, (2019)EventDNA: a dataset for Dutch news event extraction as a basis for news diversification., , , and . Lang. Resour. Evaluation, 57 (1): 189-221 (March 2023)End-to-End Spoken Language Understanding: Performance analyses of a voice command task in a low resource setting., , and . CoRR, (2022)Apport des modèles neuronaux de bout-en-bout pour la compréhension automatique de la parole dans l'habitat intelligent. (Contribution of end-to-end deep learning models for spoken language understanding in smart homes).. Grenoble Alpes University, France, (2020)Learning Natural Language Understanding Systems from Unaligned Labels for Voice Command in Smart Homes., , , and . PerCom Workshops, page 832-837. IEEE, (2019)