Alsace08/SumCoT

[ACL 2023] Code and Data Repo for Paper "Element-aware Summary and Summary Chain-of-Thought (SumCoT)"

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Emerging

This project helps researchers and practitioners in natural language processing to create and evaluate high-quality summaries using large language models. It provides a structured approach for generating summaries that are more aligned with professional communication principles. You provide a source document and it outputs different summary versions, including 'element-aware' summaries, which can then be evaluated. This is useful for NLP researchers, data scientists, or AI product managers working on text summarization features.

No commits in the last 6 months.

Use this if you need to generate and evaluate document summaries that are more structured and 'expert-aligned' than standard summaries, particularly for research and development purposes.

Not ideal if you are looking for an out-of-the-box, plug-and-play summarization tool for immediate production use without significant technical setup.

natural-language-processing text-summarization AI-research communication-theory large-language-models
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 7 / 25

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Stars

53

Forks

3

Language

Python

License

Apache-2.0

Last pushed

Jan 21, 2024

Commits (30d)

0

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