Open-source alternatives to BARTABSA

This repository contains the code and resources accompanying the paper titled "Advancing Entity Recognition in Biomedicine via Instruction Tuning of Large Language Models." The paper explores the use of instruction-based learning paradigm to transform biomedical Named Entity Recognition (NER)…

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

CollabKG is an open-source IE annotation toolkit that unifies NER, RE, and EE tasks, integrates KG and EKG, and supports both English and Chinese languages. - CollabKG combines automatic and manual labeling to build a learnable human-machine cooperative system. In particular, humans benefit from…

Project Overview:

Source code and data for ACL 2023 main conference paper DICE: Data-Efficient Clinical Event Extraction with Generative Models.

This is the github repository for the paper: Retrieval Augmented Instruction Tuning for Open NER with Large Language Models.

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.

We provide an implementation of GCD that is compatible with the popular Transformers library!

This repository contains a PyTorch implementation of the autoregressive information extraction system GenIE proposed in the paper GenIE: Generative Information Extraction. We extend these ideas in our follow-up work on SynthIE, visit this link for details. ``…

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Code and ressources for evaluating Named Entity Recognition using Few-Shot Prompting with Large Language Models

G uideline f o llowing L arge L anguage Model for I nformation E xtraction

Code and Data for arXiv paper: PolyIE: A Dataset of Information Extraction from Polymer Material Scientific Literature.

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

Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge

LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition

This repository contains code for extracting structured relational data as JSON documents from complex scientific text, with particular application to materials science. For the Llama-2 fine-tuned models and code, see the supplemetary nerre-llama repo.

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 repository contains PyTorch implementation and pre-trained models for ASP, described in Autoregressive Structured Prediction with Language Models.

TechGPT 2.0: Technology-Oriented Generative Pretrained Transformer 2.0

The source code of paper DILUIE: Constructing Diverse Demonstrations of In-context Learning with Large Language Model for Unified Information Extraction

Exploit the power of Large Language Models (LLM) to perform Zero-Shot or Few-Shot Named Entity Recognition (NER) without the need of annotated data.

Code for our ACL-2022 paper Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction.

This repo contains the code and datasets for paper "ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models".