gswycf/Joint-Extraction-of-Entities-and-Relations-Based-on-a-Novel-Tagging-Scheme
Joint Extraction of Entities and Relations Based on cnn+rnn
PythonMIT
Issues
- 7
缺少train.json
#18 opened by mzc421 - 0
- 1
can you please share train.json
#17 opened by sathish331977 - 2
What is the data structure of train.json
#2 opened by chenhuizi - 3
- 3
- 0
When I run train.py ,I have an error ‘RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED’ (python:3.6.8, torch1.0.0, cuda:10.0),How to solve this problem?
#14 opened by syfshigechunvzuo - 0
Paper specifies decoded output from LSTM at timestep t is fed as input in timestep t+1, but code does not
#13 opened by ivsanro1 - 2
Can you provide train.json data? Thank you
#1 opened by chenhuizi - 2
word2vec.vectors.npy 文件是如何生成的?
#11 opened by xingjiang233 - 3
Fix bad Arxiv link in readme
#3 opened by impredicative - 3
i have already download your update in Google.drive, but when i run train.py ,there are sone errors in model.py,in “def forward” ,char_output 's dimensions is wrong
#4 opened by z786760876 - 1
I found a mistake in predict.py and it will have an influence on the evaluation result
#9 opened by coderGray1296 - 0
How can I get the file word2vec.vectors.npy?
#10 opened by hejia1111 - 0
How are overlaps solved?
#8 opened by baudzhou - 1
- 0
evaluate wrong
#6 opened by mymxhdd - 1
Pytorch version?
#5 opened by zhengyima