xndien2004/ViAMR

[VLSP 2025] ViAMR: Fine-tuning LLMs for Abstract Meaning Representation in Vietnamese

24
/ 100
Experimental

This project helps convert Vietnamese sentences into their underlying semantic meaning, represented as Abstract Meaning Representation (AMR) graphs. You provide a Vietnamese sentence, and it outputs a structured PENMAN-format AMR graph that captures the sentence's core meaning. This tool is for computational linguists, NLP researchers, or anyone working on advanced Vietnamese language understanding applications.

Use this if you need to semantically analyze Vietnamese text and represent its meaning in a structured, machine-readable graph format.

Not ideal if you only need basic sentiment analysis, named entity recognition, or simple translation for Vietnamese.

Vietnamese-NLP semantic-parsing computational-linguistics abstract-meaning-representation language-understanding
No License No Package No Dependents
Maintenance 6 / 25
Adoption 6 / 25
Maturity 7 / 25
Community 5 / 25

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Python

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Last pushed

Oct 15, 2025

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