Archives for Named Entity Recognition

23 Jan

A Guide to Explainable Named Entity Recognition

Named entity recognition (NER) is difficult to understand how the process of NER worked in the background or how the process is behaving with the data, it needs more explainability. we can make it more explainable.

10 Apr

Guide to Pykg2vec: A Python Library for Knowledge Graph Embedding

Rajkumar Lakshmanamoorthy Ampligraph

Pykg2vec is a robust and powerful Python library for Knowledge Graph Embedding to represent Entity Relationships in different ML domains

The post Guide to Pykg2vec: A Python Library for Knowledge Graph Embedding appeared first on Analytics India Magazine.

10 Apr

Guide to Pykg2vec: A Python Library for Knowledge Graph Embedding

Rajkumar Lakshmanamoorthy Ampligraph

Pykg2vec is a robust and powerful Python library for Knowledge Graph Embedding to represent Entity Relationships in different ML domains

The post Guide to Pykg2vec: A Python Library for Knowledge Graph Embedding appeared first on Analytics India Magazine.

23 Nov

Most Popular Datasets For Neural Sequence Tagging with the Implementation in TensorFlow and PyTorch

Ankit Das Chunking

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.