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README.md
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# LED_para
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This is a pretrained version of the document simplification model presented in the EACL 2023 paper "Context-Aware Document Simplification".
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It is an end-to-end system based on the Longformer encoder-decoder that operates at the paragraph-level.
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## How to use
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It is recommended to use the [plan_simp](https://github.com/liamcripwell/plan_simp/tree/main) library to interface with the model.
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# LED_para document simplification model
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This is a pretrained version of the document simplification model presented in the EACL 2023 paper "Context-Aware Document Simplification".
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It is an end-to-end system based on the Longformer encoder-decoder that operates at the paragraph-level.
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Target reading levels (1-4) should be indicated via a control token prepended to each input sequence ("\<RL_1\>", "\<RL_2\>", "\<RL_3\>", "\<RL_4\>"). If using the terminal interface, this will be handled automatically.
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## How to use
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It is recommended to use the [plan_simp](https://github.com/liamcripwell/plan_simp/tree/main) library to interface with the model.
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