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urchade avatar

urchade/ATG

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62 星标·8 分支·Python·6 次浏览

ATG

Official code for our paper "An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction" which will be published at AAAI 2024.

Features

  • Information Extraction Frameworks - Autoregressive framework for joint entity and relation extraction.
  • Relation Extraction - Autoregressive text-to-graph framework for joint entity and relation extraction.

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ATG 的开源替代方案

相似的开源项目,按与 ATG 的功能重合度排序。
  • zjunlp/deepkezjunlp 的头像

    zjunlp/DeepKE

    4,433在 GitHub 上查看↗

    DeepKE is a knowledge extraction toolkit and framework designed to transform unstructured text into structured knowledge graphs. It provides a pipeline for identifying and classifying named entities, semantic relations, and events, converting raw datasets into structured triples. The project utilizes large language models as tool callers through a standardized context protocol to drive automated data extraction processes. It supports schema-driven extraction across multiple domains and bilingual text, employing joint entity and relation extraction to identify components in a single structured

    Python
    在 GitHub 上查看↗4,433
  • tangxuemei1995/chisiectangxuemei1995 的头像

    tangxuemei1995/CHisIEC

    22在 GitHub 上查看↗

    CHisIEC: An Information Extraction Corpus for Ancient Chinese History

    C++
    在 GitHub 上查看↗22
  • lbnlp/nerre-llamalbnlp 的头像

    lbnlp/nerre-llama

    64在 GitHub 上查看↗

    If you are just looking to download the LoRA weights directly, use this url: https://figshare.com/ndownloader/files/43044994 and view the data entry on Figshare.

    Python
    在 GitHub 上查看↗64
  • microsoft/biogptmicrosoft 的头像

    microsoft/BioGPT

    4,486在 GitHub 上查看↗

    BioGPT is a biomedical large language model and domain-specific transformer designed for processing and creating specialized medical text. It functions as a generative tool and knowledge extraction engine trained on large-scale scientific literature to produce human-like scientific prose and factual responses to queries. The project provides specialized capabilities for biomedical named entity recognition and the extraction of complex relations from unstructured medical corpora. It is designed to identify and classify biological entities through data mining and relation extraction to support

    Python
    在 GitHub 上查看↗4,486
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常见问题解答

urchade/atg 是做什么的?

Official code for our paper "An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction" which will be published at AAAI 2024.

urchade/atg 的主要功能有哪些?

urchade/atg 的主要功能包括:Information Extraction Frameworks, Relation Extraction。

urchade/atg 有哪些开源替代品?

urchade/atg 的开源替代品包括: zjunlp/deepke — DeepKE is a knowledge extraction toolkit and framework designed to transform unstructured text into structured… tangxuemei1995/chisiec — CHisIEC: An Information Extraction Corpus for Ancient Chinese History. lbnlp/nerre-llama — If you are just looking to download the LoRA weights directly, use this url:… microsoft/biogpt — BioGPT is a biomedical large language model and domain-specific transformer designed for processing and creating… chocowu/lasuie — Universal Information Extraction, codes for the NeurIPS-2022 paper: Unifying Information Extraction with Latent… babelscape/rebel — mREBEL is here. We present two new datasets for multilingual Relation Extraction and an array of mREBEL versions. Go…