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Downstream Model Design of Pre-trained Language Model for Relation Extraction Task

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Bumps [certifi](https://github.com/certifi/python-certifi) from 2019.9.11 to 2022.12.7. Commits 9e9e840 2022.12.07 b81bdb2 2022.09.24 939a28f 2022.09.14 aca828a 2022.06.15.2 de0eae1 Only use importlib.resources's new files() / Traversable API on Python ≥3.11 ... b8eb5e9 2022.06.15.1...

dependencies

Bumps [joblib](https://github.com/joblib/joblib) from 0.14.0 to 1.2.0. Changelog Sourced from joblib's changelog. Release 1.2.0 Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported....

dependencies

Bumps [numpy](https://github.com/numpy/numpy) from 1.17.3 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

Hello, I use the following command to run the code, but the feedback is as follows, please what SHOULD I do, thank you python train.py train -s redn/output -f X:\python\REDN-allennlp-based\REDN-allennlp-based\redn\training_configs\relation_extrac...

Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.25.6 to 1.26.5. Release notes Sourced from urllib3's releases. 1.26.5 :warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap Fixed...

dependencies

I've run - python redn_trainer.py semeval t and is getting error No module named 'transformers.models' transformers==3.4.0 appreciate your advise.

我看新分支里面的,一个instance一个关系,如何做到识别一个instance里面有多个关系呢? 如果一个instance里面,有多个不同实体对,是相同关系的如何构建输入的instance呢

No module named "RelationExtractionWithNERReader" and "NERReader", could you provide the complete code?

``` gold_count = len(gold_label) for idx, s in enumerate(res): if idx in gold_label and s == 1: self.res[CORRECT] += 1 self.triple_count_res[triple_count][CORRECT] += 1 if idx != self.na_id else 0 self.without_na_res[CORRECT]...

I trained the model for nyt10 dataset for 10 epochs and accuracy exceeded 100% and I got 103%. Can you elaborate me on that? Thanks