Inference-time adaptation methods for semantic parsing are useful for
le...
Text-to-SQL parsers typically struggle with databases unseen during the ...
Despite cross-lingual generalization demonstrated by pre-trained multili...
Recent research in multilingual language models (LM) has demonstrated th...
Learning to recognize new keywords with just a few examples is essential...
We consider the task of personalizing ASR models while being constrained...
We evaluate named entity representations of BERT-based NLP models by
inv...
We introduce the problem of adapting a black-box, cloud-based ASR system...
In many applications labeled data is not readily available, and needs to...
We present a Parallel Iterative Edit (PIE) model for the problem of loca...