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Write a wrapper for the CoNLL2003 dataset.
Annotate the license, experiment type and language.
Give provenance.
Update https://github.com/AKSW/gerbil/wiki/Licences-for-datasets
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您好，您在paper中有提到用bert-large在conll03上的performance。请问下可以方便说一下bert-base的performance是多少吗？谢谢！
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I was not able to reproduce the results reported in the ACL paper for the CoNLL 2003. Would it be possible to share the reproduce script for this dataset also? Thanks.
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Hi, I've followed the instructions on the README to test the model on the CoNLL2003 dataset. However, I ran into a RuntimeError when I tried to run `python run_ner.py conf/conll03.json`. Any help in r…
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I just run below code and find that the examples need to be evaluated by LLM are not equivalent to your papers.
`rule_based_source = ["E2E", "WIKIEVENTS", "CONLL2003",
"tex…
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I'm sorry to bother you but I couldn't replicate same scores on en_conll2003 dataset.
I only reproduced to **92.12**, **1.4 lower** than yours.
I check my dataset and ensure the labels are the same …
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Hi,
Thanks for amaking your work open source.
I was trying to explore this repo and understand XOR limitations better but I couldn't execute the `evaluate.py` script even for a single dataset. For e…
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Thank you for sharing your code and I am very interested in dice loss especially for NER task.
Here you are sharing CoNLL2003 data of MRC format but the script for NER (with hyper-parameters) is for …
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Thank for your timely work!
when running on GPU, conll2003 doesn't perform as good as you or paper result, by the way, I tried several times , the dev F score is wandering [0.89, 0.912].
Does your w…
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Hi,
I was trying to run the train_w.py on ner conll2003 data using this command: python train_w.py --train_file ner-conll2003/train --dev_file ner-conll2003/dev --test_file ner-conll2003/test --chec…
ghost updated
6 years ago