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.
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 is the codebase of the paper: ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis.
This is a meta-model distilled from ChatGPT-3.5-turbo for information extraction. This is an intermediate checkpoint that can be well-transferred to all kinds of downstream information extraction tasks.
Data and code for ACL 2023 Findings: Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors.
https://aclanthology.org/2023.emnlp-main.745.pdf
The main features of qingwang-isu/augure are: Data Annotation, Relation Extraction, Zero-Shot Prompting.
Projects with overlapping indexed features include: zjunlp/deepke — DeepKE is a knowledge extraction toolkit and framework designed to transform unstructured text into structured… ridiculouz/llmaaa — openai 0.27.4. komeijiforce/metaie — This is a meta-model distilled from ChatGPT-3.5-turbo for information extraction. This is an intermediate checkpoint… oceanntwt/era-cot — This is the codebase of the paper: ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis. osu-nlp-group/qa4re — Data and code for ACL 2023 Findings: Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation… sefeoglu/rag4re — -->.