Named Entity Recognition (NER) and Disambiguation are Natural Language Processing (NLP) subtasks that aim to recognise and categorise named entities in text into their appropriate categories. CNER enhances the capacity by assisting you in identifying new entity types that are not included in the preset generic entity types. This implies that, in addition to detecting entity categories like DISEASE, LOCATION, DATE, and PERSON, you can also examine documents and extract entities like product codes or business-specific entities that are relevant to your needs. Due to a lack of large-scale labelled training data and domain expertise, biomedical named entity recognition (BioNER) is a difficult problem for interpreting bio- logical literature. In addition to employing sophisticated encoders (e.g., biLSTM and BioBERT) to solve the problem, one option is to use readily available supple- mentary information. The goal of Bio-medical Diseased Named Recognition is to recognise various disorders. In this study, I’ll use spaCy in Python to do custom named entity (Disease) recognition in clinical literature. In this project, I’ll build a clinical named entity recognition model that can recognise disease names in clinical text.
Custom named entity, Biomedical named entity recognition, NER, Bio-medical text, clinical text, SpaCy
International Journal of Trend in Scientific Research and Development - IJTSRD having
online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International
Journal which provides rapid publication of your research articles and aims to promote
the theory and practice along with knowledge sharing between researchers, developers,
engineers, students, and practitioners working in and around the world in many areas
like Sciences, Technology, Innovation, Engineering, Agriculture, Management and
many more and it is recommended by all Universities, review articles and short communications
in all subjects. IJTSRD running an International Journal who are proving quality
publication of peer reviewed and refereed international journals from diverse fields
that emphasizes new research, development and their applications. IJTSRD provides
an online access to exchange your research work, technical notes & surveying results
among professionals throughout the world in e-journals. IJTSRD is a fastest growing
and dynamic professional organization. The aim of this organization is to provide
access not only to world class research resources, but through its professionals
aim to bring in a significant transformation in the real of open access journals
and online publishing.