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phueb avatar phueb commented on June 13, 2024

exclude1 set to True means that the f1-score is calculated without words that were assigned to the label "1" (these are words that do not have argument labels in the data). Setting it to False is a more rigorous evaluation than setting it to True, because it requires the model to identify non-arguments correctly (in addition to identifying the labels for arguments correctly).

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kibamin avatar kibamin commented on June 13, 2024

exclude1 set to True means that the f1-score is calculated without words that were assigned to the label "1" (these are words that do not have argument labels in the data). Setting it to False is a more rigorous evaluation than setting it to True, because it requires the model to identify non-arguments correctly (in addition to identifying the labels for arguments correctly).

thanks Philip 👍

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phueb avatar phueb commented on June 13, 2024

The model is now evaluated with the official perl evaluation script provided by the conll05 shared task

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