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
W0202 13:40:21.592350 139693254723392 tpu_context.py:222] eval_on_tpu ignored because use_tpu is False.
Traceback (most recent call last):
File "run_sequnce_labeling.py", line 885, in <module>
tf.app.run()
File "/srv/jupyterhub/envs/lib/python3.7/site-packages/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/srv/jupyterhub/envs/lib/python3.7/site-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/srv/jupyterhub/envs/lib/python3.7/site-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "run_sequnce_labeling.py", line 826, in main
predict_examples = processor.get_test_examples(FLAGS.data_dir)
File "run_sequnce_labeling.py", line 235, in get_test_examples
with open(os.path.join(data_dir, os.path.join("test", "token_in_and_one_predicate.txt")), encoding='utf-8') as token_in_f:
FileNotFoundError: [Errno 2] No such file or directory: 'bin/subject_object_labeling/sequence_labeling_data/test/token_in_and_one_predicate.txt'
进行 序列标注模型预测 时候出现Error
Exception:
看了下
bin/subject_object_labeling/sequence_labeling_data/test/
目录是空的另外:
bin/prepare_data_for_labeling_infer.py
好像没有这个脚本。