Large language models (LLMs) with in-context learning have demonstrated
...
Choropleth maps are a common visual representation for region-specific
t...
Recent advances in End-to-End (E2E) Spoken Language Understanding (SLU) ...
A Virtual Patient (VP) is a powerful tool for training medical students ...
Dialog history plays an important role in spoken language understanding ...
Single-channel speech enhancement approaches do not always improve autom...
Automatic Speech Recognition (ASR) is an imperfect process that results ...
Embeddings of words and concepts capture syntactic and semantic regulari...
Linking clinical narratives to standardized vocabularies and coding syst...
Utterance classification performance in low-resource dialogue systems is...
While deep learning systems have gained significant ground in speech
enh...
Modern mispronunciation detection and diagnosis systems have seen signif...
Novel contexts may often arise in complex querying scenarios such as in
...
Online customer reviews on large-scale e-commerce websites, represent a ...
Online customer reviews on large-scale e-commerce websites, represent a ...
Natural language processing techniques are being applied to increasingly...
Exploration and analysis of potential data sources is a significant chal...
Analysis of word embedding properties to inform their use in downstream ...
Spectral mapping uses a deep neural network (DNN) to map directly from n...
Learning representations for knowledge base entities and concepts is bec...
For the task of speech enhancement, local learning objectives are agnost...
Analogy completion has been a popular task in recent years for evaluatin...
We introduce second-order vector representations of words, induced from
...
Electronic health records capture patient information using structured
c...