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Category: Protocols & Standards
Category: Protocols & Standards
CoNLL (Conference on Natural Language Learning) format is the standard for representing annotated text data in natural language processing tasks like named entity recognition and parsing.
CoNLL uses a column-based format where each token occupies one line with its annotations in tab-separated columns. Empty lines separate sentences.
The format supports various annotation types including part-of-speech tags, dependency relations, and entity labels.
CoNLL format enables interoperability between different NLP tools and datasets. It's the standard for sharing annotated corpora and evaluating NLP systems.
Most NLP benchmarks and competitions use CoNLL format, making it essential for comparing model performance.
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