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苏神你好，在relation_extraction那个例子中有一行是random.choice选择主语: https://github.com/bojone/bert_in_keras/blob/master/relation_extract.py#L171
这里k1随机出来之后，其实对应k1的正确k2就有了，但是k2你也是随机选出来的，这使得k2有可能选对，也有可能选错，选错的话就会在下面`f…
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Hi, I wonder why LSTM or RNN based methods cannot tackle bag-level relation extraction? It seems like they can only tackle sentence-level relation classification, but I think CNN or LSTM is only the e…
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Dear all, I am trying to train layoutLM Relation extraction model with FUNSD, as the RE model was pre-trained on XFUN, so I need to convert FUNSD to XFUN format, thus I would like to ask if anyone has…
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I'm trying to get oscar-create to work for a sort of proof-of-concept project. I'm looking for any working configuration, even if it's very basic, and then experiment from there if I need any adjustme…
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When I run model_predict.py as described in readme ,I got the error:
Traceback (most recent call last):
File "model_predict.py", line 17, in
print(model.predict(text))
File "/home/jovyan…
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One issue that @eric-czech has noticed during error analysis for relation extraction: it's hard to labeling functions that exclude negated relations.
It may be worth looking at how others have appr…
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**Bug Description**
Service Version: 0.9.0
The discrete feature values in the gcformat sample data generated by the OpenMLDB SQL feature extraction script are inconsistent with those calculated by t…
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Hi team,
Please find below an example of the problem that I am trying to solve
**Original Sentence:**
PD98059, a specific inhibitor of MEK, had little effect on the TNF-alpha-induced phosphoryl…
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Thanks for your early reply. But there is still an issue:
1.Traceback (most recent call last): File "train.py", line 252, in train(opt) File "train.py", line 149, in train output = model(words=d['c…
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Hello, thanks for providing this framework. My group has run into a bit of a snag:
For context, we've successfully completed candidate extraction & labeling for binary relations, with reasonable ru…