19 citations · 36 across the 7 of their papers we have counts for
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cs.CL2020★ 6 cited
Towards Semi-Supervised Semantics Understanding from Speech
Cheng-I Lai, Jin Cao, Sravan Bodapati +1
Much recent work on Spoken Language Understanding (SLU) falls short in at least one of three ways: models were trained on oracle text input and neglected the Automatics Speech Reco…
cs.CL2020★ 5 cited
Style Attuned Pre-training and Parameter Efficient Fine-tuning for Spoken Language Understanding
Jin Cao, Jun Wang, Wael Hamza +2
Neural models have yielded state-of-the-art results in deciphering spoken language understanding (SLU) problems; however, these models require a significant amount of domain-specif…