Deep supervised learning algorithms typically require a large volume of labeled data to
achieve satisfactory performance. However, the process of collecting and labeling such data …

Modern natural language processing (NLP) methods employ self-supervised pretraining
objectives such as masked language modeling to boost the performance of various …

The ability to generalise well is one of the primary desiderata of natural language
processing (NLP). Yet, what'good generalisation'entails and how it should be evaluated is …

Multi-label text classification (MLTC) aims to tag most relevant labels for the given document.
In this paper, we propose a Label-Specific Attention Network (LSAN) to learn a label-specific …

The goal of stance detection is to determine the viewpoint expressed in a piece of text
towards a target. These viewpoints or contexts are often expressed in many different …

Legal Judgment Prediction is a fundamental task in legal intelligence of the civil law system,
which aims to automatically predict the judgment results of multiple subtasks, such as …

Online sexism has become an increasing concern in social media platforms as it has
affected the healthy development of the Internet and can have negative effects in society …

The MITRE Corporation is a non-profit organization that has made substantial efforts into
creating and maintaining knowledge bases relevant to cybersecurity and has been widely …

Clinical interactions are initially recorded and documented in free text medical notes. ICD
coding is the task of classifying and coding all diagnoses, symptoms and procedures …

Supervised machine learning approaches often rely on a" ground truth" label. However,
obtaining one label through majority voting ignores the important subjectivity information in …