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 …

Sets have been used for modeling various types of objects, and measuring similarity
between them has been a key building block of a wide range of applications. However, as …

Through knowledge distillation method, a student model can imitate the output of a teacher
model to improve its generalization ability without changing the computational complexity …

Stance detection seeks to identify the public's position on a specific topic, providing critical
insights for applications such as recommendation systems and rumor detection, which are …

In February 2024, Lionel Messi's absence from a Hong Kong exhibition match ignited
extensive debate across social media platforms, capturing the attention of the public and …

As a promising platform for political discourse, social media becomes a battleground for
presidential candidates as well as their supporters and opponents. Stance detection is one …

Stance prediction on social media aims to infer the stances of users towards a specific topic
or event, which are not expressed explicitly. It is of great significance for public opinion …

Stance detection, the task of identifying the stance or viewpoint expressed in a text, plays a
crucial role in understanding the sentiment and credibility of information. However, in low …

Text emotion classification is a hot research area in natural language processing, aiming to
classify the human emotion into positive and negative categories based on words. As a well …

Stance detection has attracted wide attention, especially on social media platforms, which is
particularly challenging. It can be regarded as a short text classification task, which aims to …