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jiesutd / LatticeLSTM

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.
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Achieves 93.18% F1-value on MSRA dataset, where to find this dataset #2

Closed qichaotang closed 6 years ago

qichaotang commented 6 years ago

Hi, I see It achieves 93.18% F1-value on MSRA dataset, which is the state-of-the-art result on Chinese NER task. But, I try to find by google, I can't find this MSRA dataset. Please ask where I can find this dataset.

jiesutd commented 6 years ago

You may look at this link: http://sighan.cs.uchicago.edu/bakeoff2006/instructions.html

qichaotang commented 6 years ago

Thanks your replay, but this url can't download datas, I can download datas by https://github.com/SUDA-HLT/NewStudents/blob/master/nlp-projects/named-entity-recognition/MSRA/msra_train_bio

jiesutd commented 6 years ago

Great!

wwwjs commented 5 years ago

MSRA dataset only has train set and test set. How can I get dev_set if I use MSRA dataset?