Standard 2 stops to get here · leads to 4
Named Entity Recognition
Identifying and classifying named entities (people, organizations, locations) in text into predefined categories.
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2 stops · basics first
- Natural Language Processing ✓ understood
The field of AI that lets computers read, interpret, translate and generate human language, from spam filters and search to chatbots.
- Token ✓ understood
The basic unit of text that a language model processes, typically representing a word, subword, or character. Tokens are the fundamental building blocks for LLM input and output.
- Named Entity Recognition · you are here ✓ understood
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Named Entity Recognition
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Language & LLMs Information Extraction Automatically extracting structured information from unstructured text. Language & LLMs Entity Linking Linking entity mentions in text to entries in a knowledge base. Language & LLMs Part-of-Speech Tagging Labeling words in text with their grammatical roles (noun, verb, adjective, etc.). Language & LLMs Relation Extraction Identifying semantic relationships between entities in text. Language & LLMs Slot Filling Extracting specific pieces of information (slots) needed to fulfill a user's intent.