metadata
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Model Details
Model Description
Longformer-Encoder-Decoder (LED) model is designed to address the challenge of summarizing lengthy English texts, particularly legal documents. Utilizing a local-global attention mechanism, LED is capable of handling longer input sequences efficiently, making it highly suitable for legal document summarization tasks.
Citation
BibTeX:
@misc{duc2023led,
author = {Chu Đình Đức},
title = {Longformer-Encoder-Decoder for Legal Document Summarization},
year = {2023},
}