A Review on Clinical Named Entity Recognition

Named Entity Recognition (NER) is a commonly followed standard approach in natural language processing for recognizing category of the textual term such as noun, pronoun or any other pre-defined class. Consequently, the natural language processing domain can more effectively tackle complex tasks, such as answering questions from text and machine transformation. The deep learning models which are already proposed are quite complicated and needs high execution time. In this research previous research work will be analyzed. The bio medical entity recognition models are generally derived for the entity recognition. The entity recognition models are used to generate new entities based on the input data. From the previous research work analysis, the deep learning and pattern recognition algorithms are commonly used for the entity recognition.