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# An English semantic tagging model based on `bert-base-uncased`
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This model is a semantic tagging model created by fine-tuning `bert-base-uncased`.
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As training data, we use the English fragment (gold data only) from the Parallel Meaning Bank's universal semantic tag dataset
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The basic usage is shown below. Note that the model assumes that inputs are already split into words by spaces.
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```
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# An English semantic tagging model based on `bert-base-uncased`
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This model is a semantic tagging model created by fine-tuning `bert-base-uncased`.
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As training data, we use the English fragment (gold data only) from the Parallel Meaning Bank's universal semantic tag dataset [1], https://pmb.let.rug.nl/data.php.
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The basic usage is shown below. Note that the model assumes that inputs are already split into words by spaces.
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```
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