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License: GNU General Public License v3.0
Code for "Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework that Works" (ICASSP 2022)
License: GNU General Public License v3.0
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
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?
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?
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
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
https://github.com/RingBDStack/GDAP/blob/main/README.md#training
The script to train the et model is wrong. The argument format should be et
not tri
. The tri
would gave poor performance.
感谢作者的贡献给我很多帮助,这里有一个问题:假如某句话中有两个ATTACK事件,ETD模型的解码结果是 ((ATTACK)(ATTACK))这样吗,还是只解码一个ATTACK,TrgE,ArgE解码结果没有想象到。希望作者能够解答我的疑问
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!
GDAP/seq2seq/constrained_seq2seq.py
Lines 145 to 152 in f6acafa
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