With the development of intelligent agents pursuing humanisation, artificial intelligence must
consider emotion, the most basic spiritual need in human interaction. Traditional emotional …

Most existing pre-trained language representation models (PLMs) are sub-optimal in
sentiment analysis tasks, as they capture the sentiment information from word-level while …

Aspect-based sentiment analysis aims to identify sentiment polarity of social media users
toward different aspects. Most recent methods adopt the aspect-centric latent tree to connect …

Recent decades have witnessed a trend that the echo state network (ESN) is widely utilized
in field of time series prediction due to its powerful computational abilities. However, most of …

Wildfire susceptibility mapping (WSM) plays a crucial role in identifying areas with
heightened vulnerability to forest fires, allowing for proactive measures in fire prevention …

As an important part of urban green infrastructure, the landscape effect of the urban
waterfront green space varies, and sometimes, the green space with an excellent landscape …

Stance detection aims to identify people's standpoints expressed in the text towards a target,
which can provide powerful information for various downstream tasks. Recent studies have …

Fluid dynamics of water flow through porous metallic media is significant for cooling and
heating applications. The prediction of the velocity of fluid flowing inside the porous media …

The use of different techniques and tools is a common practice to cover all stages in the
development life-cycle of systems generating a significant number of work products. These …

Stochastic regression problems especially applied to time series forecasting problems often
encounter the challenge of volatility and unpredictable seasonality in datasets. One such …