CoNLLderived
CoNLLderived is a label used in computational linguistics to denote resources and artifacts that have been created from, or are heavily inspired by, datasets and tasks associated with the Conference on Computational Linguistics (CoNLL) and its series of shared tasks. The term covers data, models, evaluation tools, and methodological approaches that originate from CoNLL materials rather than being created independently.
Origins and scope: CoNLL has hosted many shared tasks, including part-of-speech tagging, named entity recognition, parsing,
Examples: A PoS tagger trained on CoNLL-2000 data and evaluated on a different corpus could be described
Significance and limitations: The term signals compatibility with CoNLL-style experiments and facilitates reproducibility. Potential limitations include
See also: CoNLL, CoNLL-U, shared task; natural language processing datasets; evaluation metrics in NLP.