4 citations · 9 across the 8 of their papers we have counts for
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cs.CL2018
Supervised Domain Enablement Attention for Personalized Domain Classification
Joo-Kyung Kim, Young-Bum Kim
In large-scale domain classification for natural language understanding, leveraging each user's domain enablement information, which refers to the preferred or authenticated domain…
cs.CL2018★ 4 cited
Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates
Joo-Kyung Kim, Young-Bum Kim
In domain classification for spoken dialog systems, correct detection of out-of-domain (OOD) utterances is crucial because it reduces confusion and unnecessary interaction costs be…
cs.CL2018★ 3 cited
A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding
Young-Bum Kim, Dongchan Kim, Joo-Kyung Kim +1
Intelligent personal digital assistants (IPDAs), a popular real-life application with spoken language understanding capabilities, can cover potentially thousands of overlapping dom…