4 13 20

Nicolay Rusnachenko

nicolay-r

https://nicolay-r.github.io/

AI & ML interests

Information Retrieval・Medical Multimodal NLP (🖼+📝) Research Fellow @BU_Research・software developer http://arekit.io・PhD in NLP

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Posts 16

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339

📢 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:
✅ The proper application of LLM towards implicit IR
✅ 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

Post

481

📢 Delighted to share the most recent and valuable contributions to the book-related NLP domain 💎 To push forward deeper understanding of the characters 👨‍👩‍👧‍👦 from literature novel books itself 📖 by machine learning models 🤖, releasing the most-accessible version v1.0 of the related workflow, adopted for ParlAI 🦜 agents

🌟 https://github.com/nicolay-r/book-persona-retriever/tree/v1.0

Feel free to follow / share / comment in order to advance the related direction!

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