LineConvGraphs: Line Conversation Graphs for Effective Emotion Recognition Using Graph Neural Networks

Information Science, Computer Science, Artificial Intelligence,
emotion recognition   graph neural networks   conversation analysis   affective computing   emotion shift   natural language processing   contextual embedding  

A New Approach to Emotion Recognition in Conversations Based on Graph Neural Networks Research Background Emotion recognition (ER) is an important component of human-computer interaction (HCI), aiming to identify human emotional states by analyzing multimodal data such as speech, text, and video. This technology has broad application prospects in f...

Evidence for Domain-General Arousal from Semantic and Neuroimaging Meta-Analyses Reconciles Opposing Views on Arousal

Medicine, Anesthesiology, Neurology, Life Sciences, Biophysics,
arousal   semantic analysis   neuroimaging   meta-analysis   natural language processing  

Neuroscientific Research Report on “Domain-General Arousal” Academic Background Arousal is a core concept in neuroscience, referring to fluctuations in brain and body states that underpin motivated behavior. Despite the widespread use of the term “arousal,” its definition has remained ambiguous, with differing interpretations in various textbooks. ...

Efficient CORDIC-based Activation Function Implementations for RNN Acceleration on FPGAs

Engineering, Electrical Engineering, Information Science, Electronic Information, Computer Science, Artificial Intelligence,
CORDIC   RNN   activation function   FPGA   hardware acceleration   natural language processing   edge devices  

Efficient Implementation of RNN Activation Functions: Breakthroughs in CORDIC Algorithms and FPGA Hardware Acceleration Background and Research Significance In recent years, with the rapid advancement of deep learning technologies, Recurrent Neural Networks (RNNs), particularly Long Short-Term Memory (LSTM) networks, have demonstrated powerful capa...

Unifying Large Language Models and Knowledge Graphs: A Roadmap

Information Science, Computer Science, Artificial Intelligence,
large language models   knowledge graphs   natural language processing   generative pre-training   bidirectional reasoning   artificial intelligence  

Unified Large Language Models and Knowledge Graphs Background In recent years, numerous research achievements have emerged in the fields of natural language processing and artificial intelligence. Notably, large language models (LLMs) such as ChatGPT and GPT-4 have demonstrated remarkable performance. However, despite their excellent generalization...

Large Language Models to Identify Social Determinants of Health in Electronic Health Records

Information Science, Artificial Intelligence, Medicine, Environmental and Public Health, Humanities and Others,
large language models   social determinants of health   electronic health records   natural language processing   model optimization   synthetic data generation  

Using Large Language Models to Identify Social Determinants of Health from Electronic Health Records Background and Research Motivation Social Determinants of Health (SDOH) have a significant impact on patient health outcomes. However, these factors are often incompletely recorded or missing in the structured data of Electronic Health Records (EHR)...