Pre-trained language models (PLMs) have ignited a surge in demand for
ef...
Event detection is a crucial information extraction task in many domains...
Citation recommendation (CR) models may help authors find relevant artic...
Active learning (AL) aims to reduce labeling costs by querying the examp...
Data scarcity is a problem that occurs in languages and tasks where we d...
Expressing attitude or stance toward entities and concepts is an integra...
Developed as a solution to a practical need, active learning (AL) method...
A popular approach to unveiling the black box of neural NLP models is to...
In today's data-driven society, supervised machine learning is rapidly
e...
Recently introduced transformer-based article encoders (TAEs) designed t...
When topic models are used for discovery of topics in text collections, ...
The attention mechanism has quickly become ubiquitous in NLP. In additio...
Personality and demographics are important variables in social sciences,...
Bipolar disorder, an illness characterized by manic and depressive episo...
Natural language processing has greatly benefited from the introduction ...
Argumentation mining from social media content has attracted increasing
...