Large, pre-trained language models (PLMs) such as BERT and GPT have drastically
changed the Natural Language Processing (NLP) field. For numerous NLP tasks …

The surge of pre-trained language models has begun a new era in the field of Natural
Language Processing (NLP) by allowing us to build powerful language models. Among …

Offensive content is pervasive in social media and a reason for concern to companies and
government organizations. Several studies have been recently published investigating …

The use of BERT, one of the most popular language models, has led to improvements in
many Natural Language Processing (NLP) tasks. One such task is Named Entity …

Background Social media has become a massive encyclopedia of almost anything due to its
content richness. People tell stories, write comments and feedback, and share knowledge …

Named Entity Recognition (NER) is the fundamental task for Natural Language Processing
(NLP) and the initial step in building a Knowledge Graph (KG). Recently, BERT …

Nowadays, broadcasting news on social media and websites has grown at a swifter pace,
which has had negative impacts on both the general public and governments; hence, this …

Named entity recognition (NER) is a fundamental part of other natural language processing
tasks such as information retrieval, question answering systems and machine translation …

Potato diseases and pests have a serious impact on the quality and yield of potatoes, and
timely prevention and control of potato diseases and pests is essential. A rich knowledge …

The extraction and construction of the knowledge graph related to the entity of ancient
poems are helpful to excavate the connection between ancient poems, and it is of great …