Deep neural networks are hegemonic approaches to many machine learning areas, including natural language processing (NLP). Thanks the availability of large corpora collections and capability deep architectures shape internal mechanisms in self-supervised processes (also known as “pre-training”), versatile performing models released continuously for every new network design. These networks, some...

Spark NLP is a Natural Language Processing (NLP) library built on top of Apache ML. It provides simple, performant & accurate annotations for machine learning pipelines that can scale easily in distributed environment. comes with 1100+ pretrained and models more than 192+ languages. supports nearly all the tasks modules be used seamlessly cluster. Downloaded 2.7 million times experiencing 9x gr...

In this paper, we describe the Lithium Natural Language Processing (NLP) system a resource-constrained, highthroughput and language-agnostic system for information extraction from noisy user generated text on social media. Lithium NLP extracts a rich set of information including entities, topics, hashtags and sentiment from text. We discuss several real world applications of the system currentl...