AI engineering glossary · NLP embeddings
What is coNLL-2003?
CoNLL-2003 (also called CoNLL-2003 shared task): A well-known benchmark dataset and shared task for named entity recognition in English and German newswire, labelling persons, organisations, locations and miscellaneous entities. It has long been a standard test for entity recognisers.
CoNLL-2003: an example
A new tagger reports an entity-level F1 on the CoNLL-2003 English test set to compare with earlier work.
Related terms
More NLP embeddings terms
- Constituency parsing
- Contextual embedding
- Continuous bag of words
- Coreference resolution
- Corpus
- Cross-encoder
- Cross-lingual transfer
- Dependency parsing
Where you learn it
CoNLL-2003 is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.