This is the code for ACL2021 paper A Unified Generative Framework for Aspect-Based Sentiment Analysis
The main features of yhcc/bartabsa are: Information Extraction Frameworks, Universal Information Extraction.
Open-source alternatives to yhcc/bartabsa include: zjunlp/deepke — DeepKE is a knowledge extraction toolkit and framework designed to transform unstructured text into structured… arkhn/bio-nlp2023 — This project is the codebase used for our weak supervision experiments using E3C dataset annotated with InstructGPT-3… artpli/codeie — This is the official repository for "CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors"… beyonderxx/instructuie — This repo releases our implementation for the InstructUIE model. - It is built based on the pretrained Flan T5 model,… bids-xu-lab/bioner-llama — This repository contains the code and resources accompanying the paper titled "Advancing Entity Recognition in… amazon-science/tanl — Code for the paper "Structured Prediction as Translation between Augmented Natural Languages" (ICLR 2021) and…
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
This project is the codebase used for our weak supervision experiments using E3C dataset annotated with InstructGPT-3 and dictionary.
This is the official repository for "CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors" (ACL 2023).
Code for the paper "Structured Prediction as Translation between Augmented Natural Languages" (ICLR 2021) and fine-tuned multi-task model.