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AMR preprocessing and postprocessing scripts
This project forked from rikvn/amr
AMR preprocessing and postprocessing scripts
We need to perform tokenization for every sentence file.
This setting is specific to the Proxy Report.
no-side
, and another folder named side
. The no-side
will be input folder for the baseline with no side information, where the side
will be input folder for our approach and the baseline with side information.
no-side
folder, only a single file consisting of all summary.side
folder, contain documents of which comprise:
This pre-training dataset will only consist of Proxy's summary and non-Proxy dataset. A new output filename would be required to avoid overwriting the normal pre-training dataset.
The filtering didn't go well and producing an empty output.
Create a new parameter and pipeline to remove all concept's semantics identifier
We would like to know whether the prediction actually performs better when beginning and ending parentheses of every sentence are discarded.
Create a new preprocessing and parameter pipeline for removing all parentheses
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