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PlusLabNLP avatar

PlusLabNLP/X-Gear

0
View on GitHub↗
20 stars·7 forks·Python·10 views

X Gear

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

Features

  • Cross-Domain Learning - Multilingual generative models for cross-lingual event extraction.
  • Information Extraction Frameworks - Multilingual generative models for cross-lingual event argument extraction.

Star history

Star history chart for pluslabnlp/x-gearStar history chart for pluslabnlp/x-gear

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does pluslabnlp/x-gear do?

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

What are the main features of pluslabnlp/x-gear?

The main features of pluslabnlp/x-gear are: Cross-Domain Learning, Information Extraction Frameworks.

What are some open-source alternatives to pluslabnlp/x-gear?

Open-source alternatives to pluslabnlp/x-gear include: bids-xu-lab/bioner-llama — This repository contains the code and resources accompanying the paper titled "Advancing Entity Recognition in… zjunlp/deepke — DeepKE is a knowledge extraction toolkit and framework designed to transform unstructured text into structured… beyonderxx/instructuie — This repo releases our implementation for the InstructUIE model. - It is built based on the pretrained Flan T5 model,… cocacola-lab/collabkg — CollabKG is an open-source IE annotation toolkit that unifies NER, RE, and EE tasks, integrates KG and EKG, and… d-gurgurov/injecting-commonsense-knowledge-into-llms — Project Overview:. arkhn/bio-nlp2023 — This project is the codebase used for our weak supervision experiments using E3C dataset annotated with InstructGPT-3…