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ner's Issues

how to define the words inside the vocab_attr.txt?

Hi ,

Thanks for your amazing works. I agree with your point very much : For ner task with too many ner classes, we should use multi-task to identify BIOS and NER classes.

In your codes, I appreciate your vocab_attr.txt very much. If i have my own dataset, how to define the words to be put into this txt file?

I focus on extracting financial related entities with my dataset.

Thanks a lot.

Marcus

chinese_L-12_H-768_A-12.ckpt文件是哪一个?

你好,因为是小白所以诸多不懂,想问一下chinese_L-12_H-768_A-12.ckpt文件是从哪里得到的?从bert项目中下载下来的是一个压缩包,包含如下文件,请问作者您使用的是哪个呢?
image

使用train_multitask_bert.py时的路径报错

从知乎一路追过来的,您给出的代码源文件里定义的路径是

bert_vocab_path = "./bert_model/vocab.txt" bert_config_path = "./bert_model/bert_config.json" bert_ckpt_path = "./bert_model/chinese_L-12_H-768_A-12.ckpt"

但bert文件解压出来以后没有这个ckpt文件,请问应该怎么解决
试过更改文件等方法,也没有查找到解决策略,多谢解答!

关于词汇信息的融入的问题

看了一下WLF的代码,词向量和字符向量是直接拼接在一起的,想知道是怎么保证分词后的序列与字符序列的长度是一样的呢?直接拼接是否能把词信息融合到对应的字符中去呢,毕竟NER是基于字符的标注。

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