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![image](https://user-images.githubusercontent.com/82627285/193283556-abeadb54-38c9-4bf0-820d-0ce6aa981c76.png)这个下载的文件是什么?预训练模型吗?下载速度太慢了,有没有可以下载的文件提前下载好后直接加载?

Hi, I have a use case where the max_length will be more than 512. Can this model work with LongFormer, if so what all places will require changes? I see...

我将自己的数据集处理成代码要求的格式并确保所有的token序列长度小于512,使用chinese-roberta-wwm-ext作为预训练模型,参数和genia数据集相同,出现如下错误 ![screenshot-20240414-172235](https://github.com/yhcc/CNN_Nested_NER/assets/96981055/2255fa35-51c5-4954-beb9-4ae5560681af) 显示是data/padder.py文件下的 buffer[i, :len(f), :len(f)] = torch.from_numpy(f)出现错误 非常期待您的回复,谢谢

File "D:\@Yongzhao\@pyproject\venv\lib\site-packages\torch\utils\data\dataloader.py", line 1049, in __init__ w.start() File "C:\Users\Administrator\AppData\Local\Programs\Python\Python39\lib\multiprocessing\process.py", line 121, in start self._popen = self._Popen(self) File "C:\Users\Administrator\AppData\Local\Programs\Python\Python39\lib\multiprocessing\context.py", line 327, in _Popen return Popen(process_obj) File "C:\Users\Administrator\AppData\Local\Programs\Python\Python39\lib\multiprocessing\popen_spawn_win32.py", line 45, in __init__...

我看代码和论文中的损失函数都是BCE,为什么要基于sigmoid函数和给定的0.5阈值进行预测呢,这个多分类任务不应该是基于softmax吗?

你好,有没有权威的ACE04和ACE05中文的划分文件。

您好,我看论文中提到与W2NER的对比,两个模型的参数量也相差不大,但是我在运行W2NER的推理时却时常出现显存不够的问题,但是使用CNN_NEST_NER却基本没有出现过这种情况,不知道具体问题出在哪?

bpes = [self.cls] indexes = [0] spans = [] ins_lst = [] new_ent_str = Counter() for _raw_words, _raw_ents in zip(raw_sents, raw_entss): _indexes = [] _bpes = [] for s, e,...

论文里说multi-head Biaffine就接CNN了,这里计算的是什么呢? ![image](https://user-images.githubusercontent.com/62004255/216810012-1b3586a8-6f4d-4c97-ac26-85f1f66a62b7.png)

![图片](https://github.com/yhcc/CNN_Nested_NER/assets/42016008/e16c057f-8c4a-4cb6-88a2-8e4526914afe) 还想问一个,就是为什么我在用您的代码能跑通,但是precision,f等分数都是0.0,是我哪里用错了吗? ![图片](https://github.com/yhcc/CNN_Nested_NER/assets/42016008/493a19fa-600f-49a5-a4fd-bed71a009dbb) 这是用到的gpu ![图片](https://github.com/yhcc/CNN_Nested_NER/assets/42016008/d9abe6a8-be3f-4cca-bce2-3e850a96dcc6)