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1. github.com › universal-ie › UIEuniversal-ie/UIE: Unified Structure Generation for Universal ...

   github.com › universal-ie › UIE

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   After converting, pred_folder will contain 'eval_preds_record.txt' or 'test_preds_record.txt'. $ python scripts/eval_extraction.py -h. usage: eval_extraction.py [-h] [-g GOLD_FOLDER] [-p PRED_FOLDER [PRED_FOLDER ...]] [-v] [-w] [-m] [-case] optional arguments: -h, --help show this help message and exit.

2. bookmark.tw › ai › 35雅意資訊抽取大模型：基於大規模資料的高質量資訊抽取模型 ...

   bookmark.tw › ai › 35

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   雅意資訊抽取大模型（YAYI-UIE）由中科聞歌演算法團隊研發，是一款在百萬級人工構造的高質量資訊抽取資料上進行指令微調的模型。 它能夠統一訓練資訊抽取任務，包括命名實體辨識（NER）、關係抽取（RE）和事件抽取（EE），覆蓋了通用、安全、金融、生物 ...

3. 其他人也問了

   How does UIE work?

   • Specifically, UIE uniformly encodes different extraction structures via a structured extraction language, adaptively generates target extractions via a schema-based prompt mechanism - structural schema instructor, and captures the common IE abilities via a large-scale pre-trained text-to-structure model.

   Unified Structure Generation for Universal Information Extraction

   arxiv.org/abs/2203.12277

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   How does UIE learn general Ie abilities from different knowledge sources?

   • ively learn general IE abilities from different knowledge sources. Specifically, UIE uniformly encodes different extraction structures via a structured extraction language, adaptively generates target extrac-tions via a schema-based prompt mechanism – structural schema instructor, and captures the common

   Unified Structure Generation for Universal Information Extraction

   arxiv.org/pdf/2203.12277

   查看此問題的所有搜尋結果

   What is a UIE model?

   • language, UIE provides an effective universal architecture for IE. The UIE model achieves state-of-the-art performance on nearly all datasets and tasks, even without pre-training (SEL). 2) The large-sca e pre-trained model provides a solid foundation for uni-versal IE. Compared with baselines, the pre-trained model achieves the performance of the

   Unified Structure Generation for Universal Information Extraction

   arxiv.org/pdf/2203.12277

   查看此問題的所有搜尋結果

   What is unified structure generation for universal information extraction?

   • Unified Structure Generation for Universal Information ExtractionInformation extraction tasks can be formulated as text-to-structure pro lems, where different IE tasks correspond to different structures. This paper aims to uniformly model the text-to-struc

   Unified Structure Generation for Universal Information Extraction

   arxiv.org/pdf/2203.12277

   查看此問題的所有搜尋結果

   How effective is UIE?

   • Experiments show that UIE achieved the state-of-the-art performance on 4 IE tasks, 13 datasets, and on all supervised, low-resource, and few-shot settings for a wide range of entity, relation, event and sentiment extraction tasks and their unification. These results verified the effectiveness, universality, and transferability of UIE.

   Unified Structure Generation for Universal Information Extraction

   arxiv.org/abs/2203.12277

   查看此問題的所有搜尋結果

   How does UIE achieve E abilities?

   • E abilities via a large-scale pre-trained text-to-structure model. Experiments show that UIE achieved the state-of-the-art per-formance on 4 IE tasks, 13 datasets, and on all supervised, low-resource, and few-shot set-tings for a wide range of entity, rel tion, event and sentiment extraction tasks and their unifi-cation. These results ver

   Unified Structure Generation for Universal Information Extraction

   arxiv.org/pdf/2203.12277

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4. arxiv.org › pdf › 2203Unified Structure Generation for Universal Information ...

   arxiv.org › pdf › 2203

   We propose UIE, a unified text-to-structure generation architecture that can universally model different IE tasks, adaptively generate targeted structures, and collaboratively learn general IE abil-ities from different knowledge sources.

5. arxiv.org › abs › 2203[2203.12277] Unified Structure Generation for Universal ...

   arxiv.org › abs › 2203

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   2022年3月23日 · In this paper, we propose a unified text-to-structure generation framework, namely UIE, which can universally model different IE tasks, adaptively generate targeted structures, and collaboratively learn general IE abilities from different knowledge sources.

   • Cite as: arXiv:2203.12277 [cs.CL]
   • Subjects: Computation and Language (cs.CL)

   • 留言: Accepted to the main conference of ACL2022

6. github.com › wenge-research › YAYI-UIEwenge-research/YAYI-UIE - GitHub簡

   github.com › wenge-research › YAYI-UIE

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   雅意信息抽取统一大模型 (YAYI-UIE)在百万级人工构造的高质量信息抽取数据上进行指令微调，统一训练信息抽取任务包括命名实体识别（NER），关系抽取（RE）和事件抽取（EE），实现通用、安全、金融、生物、医疗、商业、个人、车辆、电影、工业、餐厅、科学等场景下结构化抽取。 通过雅意UIE大模型的开源为促进中文预训练大模型开源社区的发展，贡献自己的一份力量，通过开源，与每一位合作伙伴共建雅意大模型生态。 更多技术细节，欢迎阅读我们的技术报告🔥 YAYI-UIE: A Chat-Enhanced Instruction Tuning Framework for Universal Information Extraction。 下载地址. 训练数据.

7. aistudio.baidu.com › modelsdetail › 22ERNIE-UIE_文心大模型_基础模型_事件抽取-飞桨AI Studio星河社区簡

   aistudio.baidu.com › modelsdetail › 22

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   UIE模型简介 [UIE (Universal Information Extraction)] (https://arxiv.org/pdf/2203.12277.pdf)：Yaojie Lu等人在ACL-2022中提出了通用信息抽取统一框架UIE。. 该框架实现了实体抽取、关系抽取、事件抽取、情感分析等任务的统一建模，并使得不同任务间具备良好的迁移和泛化能力。.

8. github.com › PaddlePaddle › PaddleNLP关于UIE信息抽取，你遇到了什么难题、还有哪些需求？欢迎反馈。 ... 簡

   github.com › PaddlePaddle › PaddleNLP

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   A：UIE负例构造是在doccano标注数据转为UIE训练数据格式的时候构造完成的，即执行doccano.py脚本的时候进行的。 负例构造的方式可以参考这篇文章： 如何理解UIE中的负例数据？