Techniques & Methods
Dependency Parsing
Dependency parsing produces a tree structure showing which words in a sentence are grammatically dependent on which other words. For example, in "The cat sat on the mat," "sat" is the root, "cat" is its subject, and "mat" is the object of the preposition "on."
Dependency trees enable downstream tasks like relation extraction, semantic role labeling, and question answering. Modern neural parsers based on transformers achieve near-human accuracy on standard benchmarks.
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Related Terms
Techniques & Methods
Part-of-Speech Tagging (POS)
Labeling each word in text with its grammatical role such as noun, verb, or adjective.
Techniques & Methods
Linguistic Annotation
Adding linguistic metadata—such as POS tags, parse trees, or coreferences—to text for analysis.
Techniques & Methods
Information Extraction
Automatically extracting structured information from unstructured text.
Core Concepts
Natural Language Processing (NLP)
Field focused on enabling computer-human interaction through natural language.