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gdap's Issues

event.schema

您好,我按照您所说的 进行了数据的预处理,但是 我得到的结果只有train/val/test.json,没有生成event.schema。请问这个是自己手动添加的吗?如果不是,是以什么样的方式获得的,希望得到您的分享和帮助

与pipeline模型的比较和改进

您好,你的工作中提到 将文本首先经过Event Type Detection,再进行Trigge和Argument Extractions的抽取。在joint模型提出来的时候,指出pipeline模型因为首先判断了事件类型,如果事件类型错误就会导致后面Argument 的抽取发生错误。请问您的工作中,与pipeline模型有什么不同,是否还是存在事件类型判断错误 导致后面的工作没有意义的问题?

Event type extraction inference

I have finished the training of Entity type extraction task, and I have a file with raw text and no event label, I wondered how to get the entity type inference?

[Clean code] 缺少函数TreePredictParser, SpanPredictParser, RTRolePredictParser

你好,我在运行run_tri_predict.bash的时候报错,检查之后发现evaluation.py这个文件的第9行
from extraction.predict_parser.target_predict_parser import TreePredictParser, SpanPredictParser, RTRolePredictParser, RolePredictParser, TriPredictParser
导入时提示缺少函数TreePredictParser, SpanPredictParser, RTRolePredictParser
1635586363(1)
我查找之后发现,在target_predict_parser.py这个文件中并没有这几个函数

关于约束解码的一个问题

作者您好,关于约束解码我有一个问题,请问constraint_decoder为什么只在下面代码条件下使用,希望作者能够解答我的疑问,谢谢!

if not self.args.predict_with_generate or prediction_loss_only:
return super().prediction_step(
model=model,
inputs=inputs,
prediction_loss_only=prediction_loss_only,
ignore_keys=ignore_keys,
prefix_allowed_tokens_fn=prefix_allowed_tokens_fn if self.constraint_decoder else None,
)

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