Rule Based and Pattern Matching for Entity Recognition in Spark NLP
Try Spark NLP here: https://www.johnsnowlabs.com/spark-nlp/
Finding patterns and matching strategies are well-known NLP procedures to extract information from text.
Spark NLP library has two annotators that can use these techniques to extract relevant information or recognize entities of interest in large-scale environments when dealing with lots of documents from medical records, web pages, or data gathered from social media.
In this talk, we will see how to retrieve the information we are looking for by using the following annotators:
Entity Ruler, an annotator available in open-source Spark NLP.
Contextual Parser, an annotator available only in Spark NLP for Healthcare.
In addition, we will enumerate use cases where we can apply these annotators.
After this webinar, you will know when to use a rule approach to extract information from your data and the best way to set the available parameters in these annotators.
Watch video Rule Based and Pattern Matching for Entity Recognition in Spark NLP online without registration, duration hours minute second in high quality. This video was added by user John Snow Labs 16 May 2022, don't forget to share it with your friends and acquaintances, it has been viewed on our site 924 once and liked it 12 people.