pytorch-relation-extraction
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distant supervised relation extraction models: PCNN MIL (Zeng 2015), PCNN+ATT(Lin 2016). 关系抽取
你好,现在大多模型在输入的时候都采取了将句子按照实体划分为3段的方法,这个时候每段的长度可以pad或者trancate到定长。假如我使用trancate的方法,那么两个实体间的部分怎么trancate呢? 比如XXX Obama XXXXXXXXXXXXX USA XXX. Obama左边和USA右边部分如果太长的话可以删掉远离实体的单词,但是Obama和USA中间的部分怎么处理呢?谢谢!
问题求助
请问下 max_ins_id = torch.max(out[:, label], 0)[1] 这句是什么意思啊 我这里运行一直报错呢 max_ins_id = max_ins_id.data.numpy()[0] IndexError: too many indices for array 是不是label那有问题?
************************************************* Traceback (most recent call last): File "/root/pycharm-community-2017.1.1/helpers/pydev/pydev_run_in_console.py", line 78, in globals = run_file(file, None, None) File "/root/pycharm-community-2017.1.1/helpers/pydev/pydev_run_in_console.py", line 35, in run_file pydev_imports.execfile(file, globals, locals) # execute the script File...
您好! 在改写piece-wise max pooling之前的版本中执行代码,运行出来的结果未能达到您博客中展示的结果,并与Zeng. 2015论文中的结果相差较大。并且usePCNN为FALSE或TRUE差别不大。请问您了解原因吗? 谢谢!
bug 求助?
Traceback (most recent call last): File "main_mil.py", line 203, in fire.Fire() File "/usr/lib/python2.7/site-packages/fire/core.py", line 127, in Fire component_trace = _Fire(component, args, context, name) File "/usr/lib/python2.7/site-packages/fire/core.py", line 366, in _Fire component,...
2023-04-03 02:29:12 train data: 293175; test data: 96678 2023-04-03 02:38:48 Epoch 1/16: train loss: 611.8585879802704; 2023-04-03 02:48:07 Epoch 2/16: train loss: 424.87783089093864; 2023-04-03 02:57:30 Epoch 3/16: train loss: 373.0171359600499; positive_num:...
您好。 两份的原生数据在百度网盘已失效,我不能访问谷歌云盘,您能发一份数据到我邮箱吗? 我的邮箱:[email protected]。 谢谢了。