Semantic annotation through simple, commonsensical questions.
Traditional semantic annotation frameworks require highly trained experts, complex category systems, and struggle with non-prototypical instances. They're expensive, slow, and often fail to capture the nuances of natural language.
Decompose complex semantic questions into simple, intuitive queries that anyone can answer. By breaking down meaning into its fundamental components, we achieve expert-level quality through crowd-sourcing while maintaining theoretical rigor.
A semantic annotation paradigm that's simple and scalable
Break down complex semantics into easy questions that anyone can answer. No linguistic expertise required.
Designed for massive annotation campaigns with built-in quality control and intuitive interfaces.
Grounded in decades of linguistic research while remaining accessible to everyone.
Achieve annotation quality that rivals expert linguists through decomposition and aggregation.
Framework designed to work across languages and domains without modification.
Lightweight annotations perfect for real-world NLP systems and applications.
Let's get decomposing!
Get started with the Decomp toolkit - our comprehensive Python library for working with UDS data.
View on GitHubAccess our growing collection of high-quality semantic annotations across multiple languages and domains.
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