Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取,2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019
Traceback (most recent call last):
File "run_predicate_classification.py", line 812, in
tf.app.run()
File "/home/anaconda/anaconda3/lib/python3.5/site-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "run_predicate_classification.py", line 690, in main
train_examples, label_list, FLAGS.max_seq_length, tokenizer, train_file)
File "run_predicate_classification.py", line 381, in file_based_convert_examples_to_features
max_seq_length, tokenizer)
File "run_predicate_classification.py", line 343, in convert_single_example
label_ids = _predicate_label_to_id(label_list, label_map)
File "run_predicate_classification.py", line 367, in _predicate_label_to_id
predicate_label_ids[predicate_label_map[label]] = 1
KeyError: ''
Traceback (most recent call last): File "run_predicate_classification.py", line 812, in
tf.app.run()
File "/home/anaconda/anaconda3/lib/python3.5/site-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "run_predicate_classification.py", line 690, in main
train_examples, label_list, FLAGS.max_seq_length, tokenizer, train_file)
File "run_predicate_classification.py", line 381, in file_based_convert_examples_to_features
max_seq_length, tokenizer)
File "run_predicate_classification.py", line 343, in convert_single_example
label_ids = _predicate_label_to_id(label_list, label_map)
File "run_predicate_classification.py", line 367, in _predicate_label_to_id
predicate_label_ids[predicate_label_map[label]] = 1
KeyError: ''