In Artificial Intelligence, Sequence Tagging is a sort of pattern recognition task that includes the algorithmic task of a categorical tag to every individual from a grouping of observed values. It consists of various sequence labeling tasks: Part-of-speech (POS) tagging, Named Entity Recognition (NER), and Chunking.

The post Most Popular Datasets For Neural Sequence Tagging with the Implementation in TensorFlow and PyTorch appeared first on Analytics India Magazine.