Webinar: "State-of-the-art Named Entity Recognition in Spark NLP"

Wednesday 1 July 2020

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Started 12:00 PM

Finished 13:30 PM

Organized by ODSC Lisbon Data Science

Venue: Online/Virtual

Address: Online event on your device

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About this event

Join our webinar via this link: https://aiplus.odsc.com/courses/state-of-the-art-named-entity-recognition-in-spark-nlp

Speaker: Veysel Kocaman, Lead Data Scientist and ML Engineer at John Snow Labs



State-of-the-art Named Entity Recognition in Spark NLP


Veysel Kocaman is a Lead Data Scientist and ML Engineer at John Snow Labs and has a decade long industry experience. He is also pursuing his Ph.D. in CS as well as giving lectures at Leiden University (NL) and several other platforms. He holds an MS degree in Operations Research from Penn State University and is affiliated with Google as a Developer Expert in Machine Learning.


Deep neural network models have recently achieved state-of-the-art performance gains in a variety of natural language processing (NLP) tasks. However, these gains rely on the availability of large amounts of annotated examples, without which state-of-the-art performance is rarely achievable. This is especially inconvenient for the many NLP fields where annotated examples are scarce, such as medical text. Named entity recognition (NER) is one of the most important tasks for development of more sophisticated NLP systems. In this webinar, we will walk you through how to prepare your own data and train a custom clinical NER model using Bert and Glove embeddings in Spark NLP – taking advantage of transfer learning to greatly reduce the amount of annotated text to achieve accurate results. After the webinar, you will be able to train your own NER models with your own data in Spark NLP.

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This page last updated Monday 29 June 2020 at 14:08.

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