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@@ -32,7 +32,8 @@ The `knowgl-large` model is trained by combining Wikidata with an extended versi
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  ```
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  [(subject mentions # subject label # subject type) | relation label | (object mentions # object label # object type)]
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  ```
 
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- It achieves state-of-the-art results for relation extraction on the test dataset of REBEL. See results comparison with [GenIE (Josifoski et al (NAACL 2022))](https://aclanthology.org/2022.naacl-main.342.pdf) in [Mihindukulasooriya et al (ISWC 2022)](https://arxiv.org/pdf/2207.05188.pdf).
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  The generated labels (for subject, relation and object) and types (subject and object) can be directly mapped to Wikidata IDs associated with them.
 
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  ```
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  [(subject mentions # subject label # subject type) | relation label | (object mentions # object label # object type)]
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  ```
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+ If there are more than one triples generated, they are separated by `$` in the output.
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+ The model achieves state-of-the-art results for relation extraction on the test dataset of REBEL. See results comparison with [GenIE (Josifoski et al (NAACL 2022))](https://aclanthology.org/2022.naacl-main.342.pdf) in [Mihindukulasooriya et al (ISWC 2022)](https://arxiv.org/pdf/2207.05188.pdf).
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  The generated labels (for subject, relation and object) and types (subject and object) can be directly mapped to Wikidata IDs associated with them.