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Indobart V2 Amr To Text Linearized Penman Ilmy Epochs 3 With Lemma And Upos And Voice

Developed by abdiharyadi
This model is a fine-tuned version based on indobenchmark/indobart-v2, designed for AMR-to-text conversion tasks.
Downloads 46
Release Time : 8/22/2023

Model Overview

The model is primarily used to convert Abstract Meaning Representation (AMR) into text, supporting inputs with part-of-speech tagging and voice features.

Model Features

AMR-to-Text Conversion
Capable of converting Abstract Meaning Representation (AMR) into natural language text.
Part-of-Speech Tagging Support
The model processes inputs with Universal Part-of-Speech (UPOS) tags.
Voice Feature Support
Able to handle inputs containing voice features.

Model Capabilities

Text Generation
AMR Parsing
Natural Language Generation

Use Cases

Natural Language Processing
AMR Parsing and Generation
Convert AMR graph structures into natural language text.
Validation loss 0.2112
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