11 citations · 39 across the 8 of their papers we have counts for
Showing 2022 · cs.CLShow all
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cs.CL2022
Metric Learning and Adaptive Boundary for Out-of-Domain Detection
Petr Lorenc, Tommaso Gargiani, Jan Pichl +4
Conversational agents are usually designed for closed-world environments. Unfortunately, users can behave unexpectedly. Based on the open-world environment, we often encounter the…
cs.CL2022★ 1 cited
Detecting early signs of depression in the conversational domain: The role of transfer learning in low-resource scenarios
Petr Lorenc, Ana-Sabina Uban, Paolo Rosso +1
The high prevalence of depression in society has given rise to the need for new digital tools to assist in its early detection. To this end, existing research has mainly focused on…