Reference 3 stops to get here · leads to 1
Dependency Parsing
Analyzing grammatical structure by identifying relationships between words (subject, object, modifier).
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3 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.
- Part-of-Speech Tagging ✓ understood
Labeling words in text with their grammatical roles (noun, verb, adjective, etc.).
- Dependency Parsing · you are here ✓ understood
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Language & LLMs Constituency Parsing Analyzing sentence structure into nested constituents (noun phrases, verb phrases, etc.). Language & LLMs Semantic Role Labeling Identifying the semantic relationships between predicates and their arguments in sentences. Language & LLMs Relation Extraction Identifying semantic relationships between entities in text. Language & LLMs Natural Language Processing The field of AI that lets computers read, interpret, translate and generate human language, from spam filters and search to chatbots.