Abstract Named Entity Recognition (NER), one of the most fundamental problems in natural
language processing, seeks to identify the boundaries and types of entities with specific …

The number of scientific publications in the literature is steadily growing, containing our
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …

With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …

Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …

Named entity recognition systems have the untapped potential to extract information from
legal documents, which can improve information retrieval and decision-making processes …

A name entity (NE) is a proper name that designates a person, location, or organization. For
humans, named entity recognition (NER) is a straightforward process insofar as many …

The rapid increase in the flow rate of published digital information in all disciplines has
resulted in a pressing need for techniques that can simplify the use of this information. The …

Biomedical-named entity recognition (bNER) is critical in biomedical informatics. It identifies
biomedical entities with special meanings, such as people, places, and organizations, as …

As the novel coronavirus spreads across the world, work, pleasure, entertainment, social
interactions, and meetings have shifted online. The conversations on social media have …

A Named-Entity Recognition (NER) is part of the process in Text Mining and it is a very
useful process for information extraction. This NER tool can be used to assist user in …