2 citations · 2 across the 12 of their papers we have counts for
4 papers · 1 filter
Multi-Facet Blending for Faceted Query-by-Example Retrieval
Heejin Do, Sangwon Ryu, Jonghwi Kim +1
With the growing demand to fit fine-grained user intents, faceted query-by-example (QBE), which retrieves similar documents conditioned on specific facets, has gained recent attent…
Multi-aspect Depression Severity Assessment via Inductive Dialogue System
Chaebin Lee, Seungyeon Seo, Heejin Do +1
With the advancement of chatbots and the growing demand for automatic depression detection, identifying depression in patient conversations has gained more attention. However, prio…
Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewards
Heejin Do, Sangwon Ryu, Gary Geunbae Lee
Recent advances in automated essay scoring (AES) have shifted towards evaluating multiple traits to provide enriched feedback. Like typical AES systems, multi-trait AES employs the…
DiagESC: Dialogue Synthesis for Integrating Depression Diagnosis into Emotional Support Conversation
Seungyeon Seo, Gary Geunbae Lee
Dialogue systems for mental health care aim to provide appropriate support to individuals experiencing mental distress. While extensive research has been conducted to deliver adequ…