📢 The Three-hop (💡aspect + 🤔opinion + 🧠reason) Chain-of-Thought concept + LLM represent a decent concept for reasoning emotions of participants in textual dialogues.
Delighted to share the tutorial video which make you aware of:
âś… The proper application of LLM towards implicit IR
âś… Ways for aligning different information types (causes and states) within the same LLM
✅ Launch your LLM in GoogleColab that is capable for characters Emotion Extraction in dialogues 🧪
🎥: https://www.youtube.com/watch?v=vRVDQa7vfkU
Project: https://github.com/nicolay-r/THOR-ECAC
Paper: https://aclanthology.org/2024.semeval-1.4/
Model card:
nicolay-r/flan-t5-emotion-cause-thor-base
Delighted to share the tutorial video which make you aware of:
âś… The proper application of LLM towards implicit IR
âś… Ways for aligning different information types (causes and states) within the same LLM
✅ Launch your LLM in GoogleColab that is capable for characters Emotion Extraction in dialogues 🧪
🎥: https://www.youtube.com/watch?v=vRVDQa7vfkU
Project: https://github.com/nicolay-r/THOR-ECAC
Paper: https://aclanthology.org/2024.semeval-1.4/
Model card:
nicolay-r/flan-t5-emotion-cause-thor-base