joezhouwenxuan / self-regulation-employing-a-generative-adversarial-network-to-improve-event-detection Goto Github PK

I have the ACE 2005 corpus and in this code, it seems that the train.tks and train.tgs is just an example? I don't really understand how to generate these two files.
Besides, from my understanding, I can use the wordlist and labellist in the data folder directly but have to generate another wordvec file, am I right?

How to make sure the generator of GAN does not generate features randomly, that it can maximum the loss L(prediction, ground truth)?

In section 4.5 of the paper Ldiff is combined to the softmax loss using lambda to optimize Θd. As I understand it, it should be applied to Θg, not Θd since Ldiff is only a function of og and oghat
In the code there are two lambdas:
self.train_op_g = optimizer_g.minimize(self.g_loss + 0.1 * self.diff_loss, var_list=vars_g) self.total_loss = self.loss + self.l2_loss + self.diff_loss * 0.00001
and the diff loss is applied to g, not d.
Is the code the proper version ?

File "train.py", line 77, in
main()
File "train.py", line 58, in main
model = Model(config)
File "/home/zhou/文档/Self-regulation-Employing-a-Generative-Adversarial-Network-to-Improve-Event-Detection-master/model.py", line 42, in init
self.build()
File "/home/zhou/文档/Self-regulation-Employing-a-Generative-Adversarial-Network-to-Improve-Event-Detection-master/model.py", line 78, in build
name='feature_embedding'
File "/home/zhou/.local/lib/python3.6/site-packages/tensorflow/python/ops/embedding_ops.py", line 122, in embedding_lookup
return maybe_normalize(_do_gather(params[0], ids, name=name))
File "/home/zhou/.local/lib/python3.6/site-packages/tensorflow/python/ops/embedding_ops.py", line 42, in _do_gather
return array_ops.gather(params, ids, name=name)
File "/home/zhou/.local/lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py", line 1179, in gather
validate_indices=validate_indices, name=name)
File "/home/zhou/.local/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
op_def=op_def)
File "/home/zhou/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2506, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/home/zhou/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1269, in init
self._traceback = _extract_stack()

InvalidArgumentError (see above for traceback): indices[0,0] = 531 is not in [0, 26)
[[Node: feature_embedding = Gather[Tindices=DT_INT32, Tparams=DT_FLOAT, _class=["loc:@feature_W"], validate_indices=true, _device="/job:localhost/replica:0/task:0/cpu:0"](feature_W/read, _arg_input_0_1)]]