zhengyima/kg-baseline-pytorch
2019百度的关系抽取比赛，使用Pytorch实现苏神的模型，F1在dev集可达到0.75，联合关系抽取，Joint Relation Extraction.
This project helps AI developers and researchers extract structured facts from unstructured Chinese text. It takes raw text as input and identifies subject-predicate-object relationships, outputting a list of these extracted relationships. This is specifically designed for those working with information extraction tasks in natural language processing using PyTorch.
315 stars. No commits in the last 6 months.
Use this if you are a PyTorch developer building a system to automatically identify and extract relationships between entities from Chinese text.
Not ideal if you are not a developer, if you need to extract information from languages other than Chinese, or if you are not using PyTorch.
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315
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Language
Python
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Last pushed
Jul 04, 2020
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