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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

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您好,想问下这个模型我训练完之后要从自己的text中抽三元组,该怎么操作呢,因为我看到模型里带的test是带有词性标注的text ,我把test换成我自己的没有词性标注只有text的json就会报错,所以想问下怎么做可以从自己提供的纯text里抽?还是说必须要是做好词性标注的text才能抽呢,谢谢!

I0702 21:27:52.672870 140382066132736 tpu_estimator.py:2159] global_step/sec: 2.20724 INFO:tensorflow:examples/sec: 70.6318 I0702 21:27:52.673159 140382066132736 tpu_estimator.py:2160] examples/sec: 70.6318 INFO:tensorflow:global_step/sec: 2.21268 I0702 21:27:53.124828 140382066132736 tpu_estimator.py:2159] global_step/sec: 2.21268 INFO:tensorflow:examples/sec: 70.8057 I0702 21:27:53.125130 140382066132736 tpu_estimator.py:2160] examples/sec: 70.8057...

您好,我在训练实体抽取的时候,开启eval功能后,出现下面问题,不知道您有没有出现过? ![image](https://user-images.githubusercontent.com/30098191/158170415-c9fdffff-4b96-46d4-bd55-23fe0111b937.png)

类别标签我看只是在训练时计算损失用的,但是在预测时,送进去的这个类别标签是如何起作用的?谢谢

你好,我运行run_predicate_classification.py是报错: Traceback (most recent call last): File "run_predicate_classification.py", line 812, in tf.app.run() File "/root/anaconda3/envs/python367/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 40, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "/root/anaconda3/envs/python367/lib/python3.6/site-packages/absl/app.py", line 299, in run _run_main(main, args) File...

比如 ` 姚明的身高是202cm,潘长江的身高是150cm`,模型第一步预测到 `身高`的关系, 在第二步中,能否把 (姚明,身高,202cm)和(潘长江,身高,150cm)同时抽取出来?