Abstract: A system for domain-specific disambiguation of terms, the system being implemented on one or more computers. The system comprises a plurality of machine-learned modules, wherein each machine-learned module comprises a selectively executable machine-learned classifier model corresponding to a respective one of a plurality of terms to be disambiguated, each term to be disambiguated being an acronym or homonym, and a fragment vectorizer module configured to: receive a body of text; identify one or more of said terms to be disambiguated within the received body of text; and generate context data for each of the identified terms. The system further comprises a feature generator configured to process the context data for each of the identified terms to obtain a feature vector for input into the respective machine-learned module for the identified term.