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Hey i am working on a run on correction problem, which is similar to punctuation (PERIOD only) restoration task, so i wanted to compare your tool performance with my approach, since you have trained so many models, i am confused which model should i use from this paper. Please help me out!
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Hi,
the two best models are T-BRNN and T-BRNN-pre. T-BRNN does not use any external datasets, T-BRNN-pre uses pretrained embeddings and is slightly better.
On Tue 1 Sep, 2020, 7:27 PM Ottokar Tilk, ***@***.***> wrote:
Hi,
the two best models are T-BRNN and T-BRNN-pre. T-BRNN does not use any
external datasets, T-BRNN-pre uses pretrained embeddings and is slightly
better.
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Hey i am working on a run on correction problem, which is similar to punctuation (PERIOD only) restoration task, so i wanted to compare your tool performance with my approach, since you have trained so many models, i am confused which model should i use from this paper. Please help me out!
The text was updated successfully, but these errors were encountered: