7 citations · 17 across the 20 of their papers we have counts for
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cs.CL2020
Using multiple ASR hypotheses to boost i18n NLU performance
Charith Peris, Gokmen Oz, Khadige Abboud +3
Current voice assistants typically use the best hypothesis yielded by their Automatic Speech Recognition (ASR) module as input to their Natural Language Understanding (NLU) module,…
cs.CL2020
Generative Adversarial Networks for Annotated Data Augmentation in Data Sparse NLU
Olga Golovneva, Charith Peris
Data sparsity is one of the key challenges associated with model development in Natural Language Understanding (NLU) for conversational agents. The challenge is made more complex b…