Sentiment polarity classification in social media is a very important task, as it enables
gathering trends on particular subjects given a set of opinions. Currently, a great advance …

To alleviate the problem of under-utilization features of sentence-level relation extraction,
which leads to insufficient performance of the pre-trained language model and …

NLPers frequently face reproducibility crisis in a comparison of various models of a real-
world NLP task. Many studies have empirically showed that the standard splits tend to …

Data science continues to provide state-of-the-art disruptive breakthroughs to the
cybersecurity research business in order to preserve cyberspace for seamless possibilities …

The importance of prerequisites for education has recently become a promising research
direction. This work proposes a statistical model for measuring dependencies in learning …