Code for "Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study" (EACL 2024).
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 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
Updates | Datasets | Models | Environment | Running | Results | Website | Paper
Official repo for paper Code4Struct: Code Generation for Few-Shot Structured Prediction from Natural Language.
xingyaoww/code4struct 的主要功能包括：Event Extraction, In Context Learning, Zero-Shot Prompting。
xingyaoww/code4struct 的开源替代品包括： zhaoyuesun/phee-with-chatgpt — Code for "Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study" (EACL 2024). mayubo2333/llm-ie — This is the implementation of filter-then-rerank pipeline in Large Language Model Is Not a Good Few-shot Information… allenai/beacon — This repository contains code to run the inference and evaluation of NER as described in our NAACL 2024 paper:… ej0cl6/textee — Updates | Datasets | Models | Environment | Running | Results | Website | Paper. lfoppiano/matsci-lumen — Code, data, and results described in the paper "Mining experimental data from materials science literature with large… emma1066/self-improve-zero-shot-ner — This is the github repository for the paper to be appeared at NAACL 2024 main conference: Self-Improving for Zero-Shot…