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abel-harvey moqingxinai wn1652400018 zlh-source lxx1220 liyandan guocxian dqc0926 elevatespirit starlee tuozhanjun wang-ck123 bitmaxnet theadmaster fengshen024grte's Issues
The return value is not match
The code of data_generator.iter() in main.py is
token_ids, _ ,mask = self.tokenizer.encode(d['text'], max_length=self.max_len)
while the tokenizer in bert4keras only return 2 value, first_token_ids and first_segment_ids, how do you make it?
How to deal with subjects or objects that appear multiple times in the text?
Thanks for your wonderful work!
I have a question. Since there is only text of subject and object in the dataset and there is no location information, is the first found location used as the subject or object when reading data?
We look forward to your reply!
请问一下,训练中的rounds是怎么选择的?
bert4keras
Hi, may I ask what the version of bert4keras is
hi,which version of bert4kreas is it?
encode() got an unexpected keyword argument 'max_length'
请问一下,token_ids,mask = self.tokenizer.encode(
d['text'], max_length=self.max_len)这段代码报错,怎么修改
File "/ddnstor/imu_tzt1/sulisha/GRTE-main/main.py", line 48, in iter
d['text'], max_length=self.max_len
TypeError: encode() got an unexpected keyword argument 'max_length'
The problem of extracting entity pairs
Hello, thanks a lot for you releasing the source code!
As the paper says, there are three routes to extract entity pair. However, I did only see two routes in the source code. How do you operate the second search route ( from tail tokens to head tokens )? I think you just put all the entity pairs into a big list and it's difficult to sovle the overlapping problem especially in "MMH→MMT”.
Thank you for your kind help. I'm looking forward to your reply.
crossattention的创建
crossattention的创建直接Bertconfig文件那么他和创建的self-attention应该没有区别把
实验结果
您好,能问一下关于不同重叠模式和不同三元组数量的F1得分的计算源码吗
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