event_extraction
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baidu aistudio event extraction competition
Traceback (most recent call last): File "D:/KG/eventKG/baidu2020_fork/run_event.py", line 60, in main() File "D:/KG/eventKG/baidu2020_fork/run_event.py", line 49, in main run_event_role_mrc(args) File "D:\KG\eventKG\baidu2020_fork\train_helper.py", line 111, in run_event_role_mrc train_datas = np.load("data/verify_neg_fold_data_{}/token_ids_train.npy".format(args.fold_index), allow_pickle=True) File "E:\machineLearning\Anaconda3\envs\tf1.12.0\lib\site-packages\numpy\lib\npyio.py",...
在data_processing 部分,event_prepare_data.py的main函数的最后一句 train_data_list, train_label_list, train_token_type_id_list, dev_data_list, dev_label_list, dev_token_type_id_list = data_loader._merge_ee_and_re_datas( train_file, eval_file, "relation_extraction/data/train_data.json", "relation_extraction/data/dev_data.json") 但是,data_loader所属类EventTypeClassificationPrepare没有_merge_ee_and_re_datas这个方法,请问是代码没有贴上去吗?
Bumps [tensorflow-gpu](https://github.com/tensorflow/tensorflow) from 1.12.0 to 2.7.2. Release notes Sourced from tensorflow-gpu's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...
TypeError: Tensor objects are only iterable when eager execution is enabled. To iterate over this tensor use tf.map_fn.
unused使用
您好,你的代码中使用unused包裹事件类别,这段代码是不是有问题,这里只用了一个unused,并非所有label都设置一个unused包裹 
No such file or directory: 'data/slot_pattern/vocab_all_event_type_label_map.txt' 你好,我想问下这份文件是一开始就有的,还是在代码中生成的呢,如果是代码生成的,具体预处理数据的过程能否告知一下。readME介绍的信息量有点少。
获得事件类型出错
https://github.com/qiufengyuyi/event_extraction/blob/f7daafce811ee9c865353d1a91a827427d7c3e6a/models/bert_event_type_classification.py#L99  type_index_in_token_ids这个变量是存储了原始句子语料+标签索引后的len长度,每加一个标签长度都做存储。为啥和batch_ids有关系呢?
https://github.com/qiufengyuyi/event_extraction/blob/f7daafce811ee9c865353d1a91a827427d7c3e6a/data_processing/event_prepare_data.py#L564