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Style Attuned Pre-Training and Parameter Efficient Fine-Tuning for Spoken Language Understanding.

, , , , and . INTERSPEECH, page 1570-1574. ISCA, (2020)

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CLASP: Few-Shot Cross-Lingual Data Augmentation for Semantic Parsing., , , , , and . AACL/IJCNLP (2), page 444-462. Association for Computational Linguistics, (2022)Exploring Transfer Learning For End-to-End Spoken Language Understanding., , , , , and . AAAI, page 13754-13761. AAAI Press, (2021)ASR N-Best Fusion Nets., , , , , , , and . ICASSP, page 7618-7622. IEEE, (2021)Low-Resource Compositional Semantic Parsing with Concept Pretraining., , , , , and . EACL, page 1402-1411. Association for Computational Linguistics, (2023)Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding., , , , and . CoNLL, page 496-506. Association for Computational Linguistics, (2020)The IBM expressive text-to-speech synthesis system for American English., , , , , and . IEEE Trans. Speech Audio Process., 14 (4): 1099-1108 (2006)Concatenative arabic speech synthesis using large speech database., and . INTERSPEECH, page 182-185. ISCA, (2000)Bilateral Multi-Perspective Matching for Natural Language Sentences., , and . IJCAI, page 4144-4150. ijcai.org, (2017)Multi-Perspective Context Matching for Machine Comprehension., , , and . CoRR, (2016)On building a concatenative speech synthesis system from the blizzard challenge speech databases., , , and . INTERSPEECH, page 97-100. ISCA, (2005)