Abstract Named Entity Recognition (NER) is an important component of Natural Language
Processing (NLP) and is a fundamental yet challenging task in text analysis. Recently, NER …

The engineering geology report serves as a comprehensive portrayal of the geological
conditions and information within a surveyed region, making it highly valuable for extracting …

Continual Learning (CL) aims to learn a sequence of problems (ie, tasks and domains) by
transferring knowledge acquired on previous problems, whilst avoiding forgetting of past …

Understanding the subcellular localization of lncRNAs is crucial for comprehending their
regulation activities. The conventional detection of lncRNA subcellular location usually uses …

Despite being widely applied, pre-trained language models have been proven vulnerable to
backdoor attacks. Backdoor attacks are designed to introduce targeted vulnerabilities into …

Data augmentation algorithms, such as back translation, have shown to be effective in
various deep-learning tasks. Despite their remarkable success, there has been a hurdle to …

Data augmentation with mixup has been proven effective in various machine learning tasks.
However, previous methods primarily concentrate on generating previously unseen virtual …

A recommendation System (RS) is an emerging technology to figure out the user's interests
and intentions. As the amount of data increases exponentially, it is hard to analyze the user …

In the context of digital economy, the C2M model, as a new e-commerce model to meet
customers' personalized needs, provides more efficient, convenient and personalized …

The text-based question-answering (QA) system aims to answer natural language questions
by querying the external knowledge base. It can be applied to real-world systems like …