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mehmetbutgul committed Jan 20, 2025
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2 changes: 1 addition & 1 deletion feed.xml
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<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.9.2">Jekyll</generator><link href="/feed.xml" rel="self" type="application/atom+xml" /><link href="/" rel="alternate" type="text/html" /><updated>2025-01-17T18:32:42+00:00</updated><id>/feed.xml</id><title type="html">Spark NLP</title><subtitle>High Performance NLP with Apache Spark
<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.9.2">Jekyll</generator><link href="/feed.xml" rel="self" type="application/atom+xml" /><link href="/" rel="alternate" type="text/html" /><updated>2025-01-20T18:46:09+00:00</updated><id>/feed.xml</id><title type="html">Spark NLP</title><subtitle>High Performance NLP with Apache Spark
</subtitle><author><name>{&quot;type&quot;=&gt;nil, &quot;name&quot;=&gt;nil, &quot;url&quot;=&gt;nil, &quot;avatar&quot;=&gt;nil, &quot;bio&quot;=&gt;nil, &quot;email&quot;=&gt;nil, &quot;facebook&quot;=&gt;nil, &quot;twitter&quot;=&gt;nil, &quot;weibo&quot;=&gt;nil, &quot;googleplus&quot;=&gt;nil, &quot;telegram&quot;=&gt;nil, &quot;medium&quot;=&gt;nil, &quot;zhihu&quot;=&gt;nil, &quot;douban&quot;=&gt;nil, &quot;linkedin&quot;=&gt;nil, &quot;github&quot;=&gt;nil, &quot;npm&quot;=&gt;nil}</name></author><entry><title type="html">Clinical Deidentification Pipeline (Document Wise - Benchmark)</title><link href="/2025/01/16/clinical_deidentification_docwise_benchmark_en.html" rel="alternate" type="text/html" title="Clinical Deidentification Pipeline (Document Wise - Benchmark)" /><published>2025-01-16T00:00:00+00:00</published><updated>2025-01-16T00:00:00+00:00</updated><id>/2025/01/16/clinical_deidentification_docwise_benchmark_en</id><content type="html" xml:base="/2025/01/16/clinical_deidentification_docwise_benchmark_en.html">## Description

This pipeline can be used to deidentify PHI information from medical texts. The PHI information will be masked and obfuscated in the resulting text. The pipeline can mask and obfuscate `NAME`, `IDNUM`, `CONTACT`, `LOCATION`, `AGE`, `DATE` entities.
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