With the rapid growth of Internet penetration, more and more people choose the Internet to
express their views on topics of interest. In recent years, named entity recognition (NER) is …

Resumen Named Entity Recognition (NER) is an important task in Natural Language
Processing, as it is a key information extraction sub-task with numerous applications, such …

Named entity classification in the Encyclopédie ou dictionnaire raisonné des sciences et des
métiers par une société de gens de lettres (1751-1772). We present a method for improving …

Abstract Named Entity Recognition (NER) is an essential step for many natural language
processing tasks, including Information Extraction. Despite recent advances, particularly …

Context: The medicine inserts or pharmaceutical inserts are documents accompanying the
medicines in their packaging with information and guidance to the patient. Problem …

Named entity recognition (NER) tasks imply token-level labels. Annotating documents can
be time-consuming, costly, and prone to human error. In many real-life scenarios, the lack of …

Abstract With recent advances Deep Learning, pretrained models and Transfer Learning,
the lack of labeled data has become the biggest bottleneck preventing use of Named Entity …

Abstract Named Entity Recognition (NER) is an essential task in Natural Language
Processing (NLP). By using NER, it is possible to create associations in a text to recognize …

This paper explores the critical nexus between employer-demanded skills and academic
learning outcomes, aiming to bridge the gap between the evolving demands of the job …

Creation of NER systems for new domains with no annotated data is an unsolved problem.
The main objective for this paper is to address some of the limitations of the development of …