Evaluating Filtering Coling24 by Ding-Papa

Name: ding-papa/evaluating-filtering-coling24
Author: Ding-Papa

Code and prompt templates for evaluation-filtering + Some data were not uploaded due to size restrictions, but you can find all the datasets covered in this paper by the references in the paper.

Evaluating Filtering Coling24

Code and prompt templates for evaluation-filtering + Some data were not uploaded due to size restrictions, but you can find all the datasets covered in this paper by the references in the paper.

Features

Relation Extraction - Model collaboration for relational triple extraction.

Projects sharing features with Evaluating Filtering Coling24

These projects share indexed features with Evaluating Filtering Coling24. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.

microsoft/biogpt
microsoft/BioGPT
4,486View on GitHub
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
View on GitHub4,486
chocowu/lasuie
ChocoWu/LasUIE
55View on GitHub
Universal Information Extraction, codes for the NeurIPS-2022 paper: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model.
Python
View on GitHub55
declare-lab/relationprompt
declare-lab/RelationPrompt
0View on GitHub
The codes and dataset will be released soon!
View on GitHub0
bigdante/autore
bigdante/AutoRE
85View on GitHub
Read this in English. 本仓库基于LLaMA-Factory代码，实现了基于大语言模型的文档级关系抽取系统AutoRE。使用的抽取范式为RHF（论文链接）。目前基于Re-DocRED数据集进行实验，能够抽取文档级文本中的96个关系的三元组事实。
Python
View on GitHub85

Compare all 23 related projects

Frequently asked questions

What does ding-papa/evaluating-filtering-coling24 do?

Code and prompt templates for evaluation-filtering + Some data were not uploaded due to size restrictions, but you can find all the datasets covered in this paper by the references in the paper.

What are the main features of ding-papa/evaluating-filtering-coling24?

The main features of ding-papa/evaluating-filtering-coling24 are: Relation Extraction.

Which projects share features with ding-papa/evaluating-filtering-coling24?

Projects with overlapping indexed features include: 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… declare-lab/relationprompt — The codes and dataset will be released soon! komeijiforce/metaie — This is a meta-model distilled from ChatGPT-3.5-turbo for information extraction. This is an intermediate checkpoint… lbnlp/nerre-llama — If you are just looking to download the LoRA weights directly, use this url:… bigdante/autore — Read this in English. 本仓库基于LLaMA-Factory代码，实现了基于大语言模型的文档级关系抽取系统AutoRE。使用的抽取范式为RHF（论文链接）。…

Star history

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

Ding-PapaEvaluating-filtering-coling24