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README.md
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pretty_name: ParsTwiNER
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language:
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pretty_name: ParsTwiNER
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ParsTwiNER dataset created by Aghajani et al. [Paper](https://paperswithcode.com/paper/parstwiner-a-corpus-for-named-entity)
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> As a result of unstructured sentences and some misspellings and errors, finding named entities in a noisy environment such as social media takes much more effort.
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> ParsTwiNER contains about 250k tokens, based on standard instructions like MUC-6 or CoNLL 2003, gathered from Persian Twitter. Using Cohen’s Kappa coefficient, the consistency of annotators is 0.95, a high score.
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> In this study, we demonstrate that some state-of-the-art models degrade on these corpora, and trained a new model using parallel transfer learning based on the BERT architecture.
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> Experimental results show that the model works well in informal Persian as well as in formal Persian.
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