The transformer-based language models, including vanilla transformer, BERT and GPT-3,
have achieved revolutionary breakthroughs in the field of natural language processing …

Numerous important events happen everyday and everywhere but are reported in different
media sources with different narrative styles. How to detect whether real-world events have …

Event extraction (EE) is a crucial research task for promptly apprehending event information
from massive textual data. With the rapid development of deep learning, EE based on deep …

In the context of a more linked and globalized society, the significance of proficient cross-
cultural communication has been increasing to a position of utmost importance. Language …

The widespread propagation of numerous rumors and fake news have seriously threatened
the credibility of microblogs. Previous works often focused on maintaining the previous state …

Purpose Predictively diagnosing infectious diseases helps in providing better treatment and
enhances the prevention and control of such diseases. This study uses actual data from a …

Event detection (ED) aims to locate trigger words in raw text and then classify them into
correct event types. In this task, neural net-work based models became mainstream in re …

Neural network based models commonly regard event detection as a word-wise
classification task, which suffer from the mismatch problem between words and event …

Using advanced deep learning (DL) algorithms for forecasting significant wave height of
coastal sea waves over a relatively short period can generate important information on its …

Skeleton-based human action recognition has attracted considerable attention and
achieved great success in several engineering fields, which is also one of the most active …