ruidan IMN-E2E-ABSA issues - Githubissues

ruidan / IMN-E2E-ABSA

Code and dataset for ACL2019 ‘‘An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis’’.

Apache License 2.0

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res_only_A_norm0.5.pkl

#15 lilililisa1998 opened 3 years ago
0
opinion labelling

#14 HariWu1995 opened 3 years ago
0
Inference on New data

#13 vivektop opened 3 years ago
0
Validation and Test Results Didn't Change

#12 bigredbug47 opened 3 years ago
2
请问您的结果是怎么取的

#11 dongyang12138 opened 4 years ago
2
what is gold labels?

#10 dongyang12138 opened 4 years ago
0
dataset

#9 dongyang12138 closed 4 years ago
0
loss=0

#8 dongyang12138 opened 4 years ago
1
ZeroDivisionError: float divmod()

#7 dongyang12138 closed 4 years ago
1
return 0.01 * np.random.standard_normal(size=shape) File "mtrand.pyx", line 1545, in mtrand.RandomState.standard_normal File "mtrand.pyx", line 167, in mtrand.cont0_array TypeError: 'float' object cannot be interpreted as an integer

#6 dongyang12138 opened 4 years ago
3
why can't use the gpu to train?

#5 JBoRu opened 4 years ago
4
TypeError: Layer sequential_1_input does not support masking, but was passed an input_mask: Tensor("concatenate_1/All:0", shape=(?, 78), dtype=bool)

#4 ConnieTong opened 4 years ago
7
Trained weights

#3 siavashp1776 opened 4 years ago
0
about dataset

#2 sjm1992st opened 5 years ago
1
calculation of sentiment F1

#1 zhchen18 closed 5 years ago
4