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derekmma avatar

derekmma/DICE

0
View on GitHub↗
8 stars·0 forks·Apache-2.0·14 viewsderek.ma/DICE↗

DICE

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

Features

  • Event Extraction - Data-efficient clinical event extraction using generative models.
  • Information Extraction Frameworks - Data-efficient clinical event extraction using generative models.

Star history

Star history chart for derekmma/diceStar history chart for derekmma/dice

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with DICE

These projects share indexed features with DICE. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • zhaoyuesun/phee-with-chatgptZhaoyueSun avatar

    ZhaoyueSun/phee-with-chatgpt

    2View on GitHub↗

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

    Python
    View on GitHub↗2
  • zjunlp/deepkezjunlp avatar

    zjunlp/DeepKE

    4,433View on GitHub↗

    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

    Python
    View on GitHub↗4,433
  • baptisteblouin/eventextractionpapersBaptisteBlouin avatar

    BaptisteBlouin/EventExtractionPapers

    580View on GitHub↗

    A list of NLP resources focused on event extraction task

    View on GitHub↗580
  • bids-xu-lab/bioner-llamaBIDS-Xu-Lab avatar

    BIDS-Xu-Lab/BioNER-LLaMA

    11View on GitHub↗

    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)…

    View on GitHub↗11
Compare all 30 related projects→

Frequently asked questions

What does derekmma/dice do?

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

What are the main features of derekmma/dice?

The main features of derekmma/dice are: Event Extraction, Information Extraction Frameworks.

Which projects share features with derekmma/dice?

Projects with overlapping indexed features include: zhaoyuesun/phee-with-chatgpt — Code for "Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study" (EACL 2024). zjunlp/deepke — DeepKE is a knowledge extraction toolkit and framework designed to transform unstructured text into structured… baptisteblouin/eventextractionpapers — A list of NLP resources focused on event extraction task. 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:. bids-xu-lab/bioner-llama — This repository contains the code and resources accompanying the paper titled "Advancing Entity Recognition in…