WaNePr
WaNePr
Thanks for the'hard method', when will you relase the soft version ?
作者你好,感谢分享。 请问在这个问题中,你考虑到KBQA的实体链指的问题了吗?
我的是do_train, do_eval, do_predict同时为true的时候的f1正常; 训练结束后想再做predict则f1为0. 我的命令行如下: bert-base-ner-train --do_train=False --do_eval=False --do_predict=True --data_dir=data1/ --predict_batch_siz=16 --max_seq_length=128 --output_dir=result/ --data_config_path=result.config --vocal_file=chinese_L-12_H-768_A-12/vocab.txt --bert_config_file=chinese_L-12_H-768_A-12/bert_config.json 应该是遇到了和这边类似的问题 https://github.com/macanv/BERT-BiLSTM-CRF-NER/issues/23 求解答!
For msra dataset, I realised that the total number of entities being evaluated is not the same as it is. As you can see, For test data, the support (true...
如标题,求问线下的dev数据集结果和线上test的结果是否具有一致性?如果有不一致,大概差距在多少?
Hi, I see that the attention-based model performs worse than the rnn-based model in the original paper. Do you have an idea why ? I also read "SPEECH EMOTION RECOGNITION...
Thanks for the dataset, but why there is no sparql query for each question ?
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