<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Information Extraction on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/information-extraction/</link><description>Recent content in Information Extraction on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/information-extraction/index.xml" rel="self" type="application/rss+xml"/><item><title>Named Entity Recognition</title><link>https://terms-en.ai-term-hub.com/en/terms/named_entity_recognition/</link><pubDate>Sat, 18 Jul 2026 09:41:54 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/named_entity_recognition/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Named Entity Recognition (NER) is a subtask of information extraction that locates and classifies named entities in text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc. It transforms unstructured text into structured data, enabling downstream applications like knowledge graph construction, search engine optimization, and automated document summarization by understanding the semantic roles of specific words.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>A natural language processing task that identifies and classifies key information entities into predefined categories.&lt;/p></description></item></channel></rss>