Search Results for author:
Found 2 papers, 0 papers with code
A Contextualized Real-Time Multimodal Emotion Recognition for Conversational Agents using Graph Convolutional Networks in Reinforcement Learning
In this work, we present a novel paradigm for contextualized Emotion Recognition using Graph Convolutional Network with Reinforcement Learning (conER-GRL).
Hybrid Long Document Summarization using C2F-FAR and ChatGPT: A Practical Study
In this work, we use ChatGPT, the latest breakthrough in the field of large language models (LLMs), together with the extractive summarization model C2F-FAR (Coarse-to-Fine Facet-Aware Ranking) to propose a hybrid extraction and summarization pipeline for long documents such as business articles and books.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
