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An Open-Source Package for Neural Relation Extraction (NRE)

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File "D:\anoconda\envs\opennre\lib\multiprocessing\spawn.py", line 116, in spawn_main exitcode = _main(fd, parent_sentinel) File "D:\anoconda\envs\opennre\lib\multiprocessing\spawn.py", line 125, in _main prepare(preparation_data) File "D:\anoconda\envs\opennre\lib\multiprocessing\spawn.py", line 236, in prepare _fixup_main_from_path(data['init_main_from_path']) File "D:\anoconda\envs\opennre\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path...

请问包级的是用的哪一个?是否在这个package里面给了?另外这个基于BERT的包级关系提取任务的准确率和F1分数分别达到多少了,我在论文中没有找到相关数据? 非常感谢您的分享,在论文中已强烈推荐

In your paper that presents OpenNRE, "BERT" and "BERT-Entity" are discussed, representing different output taken for classification. I am wondering if BERTEncoder corresponds to "BERT" and BERTEntityEncoder corresponds to "BERT-Entity"?

您好! 请问一下论文中展示的sentence-level的NYT10m指标是如何进行评估的? 是sentence_re还是multilabel_sentence_re呢?

Is there any timeline for making this installable as a python package? Thank you for this great framework!

Hi, Thank you for the latest contribution "_Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction_", having manual test significantly improves our understanding of the DRE models. I...

enhancement

I was checking the `BagOne` class, and on this line: https://github.com/thunlp/OpenNRE/blob/0acd945d9fc94761a10e721af385c7cdb9e55997/opennre/model/bag_one.py#L46 the method `sentence_encoder.tokenizer` was being used in this way: `token, pos1, pos2, mask = self.sentence_encoder.tokenize(item)` However, aren't the position...

question

Hello, I couldn't replicate the AUC performance for Wikidistant (22.2%) found in this paper: https://www.aclweb.org/anthology/2020.aacl-main.75.pdf, using this current `train_bag_pcnn_att.py` script. I am getting approximately 16-17% instead. Could you share the...

question

Included requirements in `setup.py` so at some point this package could be uploaded to PyPI and to simplify instructions. Next step would be to loosen up constrains from requirements.txt

path = os.fspath(path) TypeError: expected str, bytes or os.PathLike object, not NoneType