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lfoppiano/MatSci-LumEn

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10 星标·1 分支·Python·Apache-2.0·6 次浏览

MatSci LumEn

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

Features

  • In Context Learning - Mining experimental data from materials science literature.
  • Information Extraction Frameworks - Extracts experimental data from materials science literature.
  • Named Entity Recognition - Mining experimental data from materials science literature.
  • Zero-Shot Prompting - Mining experimental data from materials science literature.

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常见问题解答

lfoppiano/matsci-lumen 是做什么的？

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

lfoppiano/matsci-lumen 的主要功能有哪些？

lfoppiano/matsci-lumen 的主要功能包括：In Context Learning, Information Extraction Frameworks, Named Entity Recognition, Zero-Shot Prompting。

lfoppiano/matsci-lumen 有哪些开源替代品？

lfoppiano/matsci-lumen 的开源替代品包括： zjunlp/deepke — DeepKE is a knowledge extraction toolkit and framework designed to transform unstructured text into structured… 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… allenai/beacon — This repository contains code to run the inference and evaluation of NER as described in our NAACL 2024 paper:… zhaoyuesun/phee-with-chatgpt — Code for "Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study" (EACL 2024). tangxuemei1995/chisiec — CHisIEC: An Information Extraction Corpus for Ancient Chinese History. toneli/rt-retrieving-and-thinking — This is the source code of the model RT (Retrieving and Thinking). For the full project, please check the file…

MatSci LumEn 的开源替代方案

相似的开源项目，按与 MatSci LumEn 的功能重合度排序。
  • zjunlp/deepkezjunlp 的头像

    zjunlp/DeepKE

    4,433在 GitHub 上查看↗

    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
    在 GitHub 上查看↗4,433
  • emma1066/self-improve-zero-shot-nerEmma1066 的头像

    Emma1066/Self-Improve-Zero-Shot-NER

    53在 GitHub 上查看↗

    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.

    Python
    在 GitHub 上查看↗53
  • allenai/beaconallenai 的头像

    allenai/beacon

    14在 GitHub 上查看↗

    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

    Python
    在 GitHub 上查看↗14
  • tangxuemei1995/chisiectangxuemei1995 的头像

    tangxuemei1995/CHisIEC

    22在 GitHub 上查看↗

    CHisIEC: An Information Extraction Corpus for Ancient Chinese History

    C++
    在 GitHub 上查看↗22
查看 MatSci LumEn 的所有 30 个替代方案→