Multimodal sentiment analysis targets at accurately perceiving the emotional states by
incorporating related information from multiple sources. However, existing methods mostly …

Vector-based retrieval have been widely adopted to process online users' diverse interests
for recommendations. However, most of them utilize a single vector to represent user …

Question classification is an essential task in question answering (QA) systems. An effective
and efficient question classification model can not only restrict the search space for answers …

Abstractive summarization (AS) aims to generate more flexible and informative descriptions
than extractive summarization. Nevertheless, it often distorts or fabricates facts in the original …

This survey investigates the synergistic relationship between Large Language Models
(LLMs) and Knowledge Graphs (KGs), which is crucial for advancing AI's capabilities in …

Speech emotion recognition, as an important component of humancomputer interaction
technology, has received increasing attention. Recent studies have treated emotion …

Generic statements such as “ducks lay eggs” make claims about kinds, eg, ducks as a
category. The generic overgeneralization effect refers to the inclination to accept false …

The development of a model to quantify semantic similarity and relatedness between words
has been the major focus of many studies in various fields, eg psychology, linguistics, and …

Deep learning-based methods are prevalent in object detection. These methods usually
utilize a complex end-to-end network to locate and classify objects without overall …

Introduction Metropolitan governance's efficacy is regularly gauged by its capability for
public health preparedness, a critical component, particularly in the post-pandemic climate …