Open-source alternatives to RAG4RE

The codes and dataset will be released soon!

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.

This is the github repository for the paper to be appeared at NAACL 2024 main conference: Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models.

This is a meta-model distilled from ChatGPT-3.5-turbo for information extraction. This is an intermediate checkpoint that can be well-transferred to all kinds of downstream information extraction tasks.

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.

Code, data, and results described in the paper "Mining experimental data from materials science literature with large language models: an evaluation study", https://www.tandfonline.com/doi/full/10.1080/27660400.2024.2356506

This is the implementation of filter-then-rerank pipeline in Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!. EMNLP'2023 (Findings).

This repository contains code to run the inference and evaluation of NER as described in our NAACL 2024 paper: On-the-fly Definition Augmentation of LLMs for Biomedical NER

Sequence Generation with Label Augmentation for Relation Extraction. Bo Li, Dingyao Yu, Wei Ye, Jinglei Zhang, Shikun Zhang. AAAI2023 Oral Paper

Source code for the EMNLP' 21 paper Document-level Entity-based Extraction as Template Generation.

openai 0.27.4

CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model

CHisIEC: An Information Extraction Corpus for Ancient Chinese History

Implementation of Document-level Relation Extraction with Knowledge Distillation and Adaptive Focal Loss - Findings of ACL 2022 (https://aclanthology.org/2022.findings-acl.132)

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

Code for AAAI 2021 paper Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling.

Official repo for paper Code4Struct: Code Generation for Few-Shot Structured Prediction from Natural Language.

This is the official repository for the paper "GPT-RE: In-context Learning for Relation Extraction using Large Language Models" (EMNLP 2023).

Code for "Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study" (EACL 2024).

The original implementation of the paper. You can cite the paper as below.

mREBEL is here. We present two new datasets for multilingual Relation Extraction and an array of mREBEL versions. Go to Section.

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。

Universal Information Extraction, codes for the NeurIPS-2022 paper: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model.

Official repository of paper "Zero-Shot Information Extraction via Chatting with ChatGPT". Please star, watch, and fork our repo for the active updates!