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DFKI-NLP
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Commits on May 17, 2022
updated paper link
leonhardhennig
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a47d2a0
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Commits on Apr 6, 2022
Check the all the links in README
chen-yuxuan
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Update the link to LICENSE in README; Re-upload the overview.png in README
chen-yuxuan
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Polish README for the camera-ready version
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Commits on Mar 30, 2022
updated results for bert example
leonhardhennig
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ecfbbfe
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updated instructions for Conll03 German and Lenovo datasets
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updated instructions for Ontonotes dataset
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Merge pull request #15 from DFKI-NLP/dfki
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Merge branch 'main' into dfki
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Add citation for ontonotes dataset
chen-yuxuan
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Add citation info for lenovo dataset
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Remove flair_config.yaml
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Remove redundant files
chen-yuxuan
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Remove outdated information in README
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clean up repo for public release
leonhardhennig
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updated info for paper release
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Commits on Nov 9, 2021
Update results of bert-german-base-cased
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Specify the version of `datasets` under 1.13 to allow conll-de loading
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Rename conll-de data files so that docker does not treat those as binary files but normal text files
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Replace bert-german-base-uncased with bert-german-base-cased
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Commits on Oct 22, 2021
Integrate ERNIE encoder
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Commits on Oct 21, 2021
Reshape result dataframe for much faster number-checking
yzchyx
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Commits on Oct 20, 2021
Remove redundent lines in results script
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Store results in csv
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Commits on Oct 19, 2021
Reproduce CL results into `pd.dataframe`
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Commits on Oct 18, 2021
Reformat with black
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Commits on Oct 12, 2021
Add notebook to display the dataframe of results
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Add script to fetch results from log files and store in `df`; Adjust all FT-encoders within bert-uncased base
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Commits on Oct 9, 2021
Rename .csv file of encoder info
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Get encoder information: vocab and parameter size
yzchyx
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Commits on Oct 8, 2021
Integrate encoder `xlm-roberta` (base version)
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Commits on Oct 7, 2021
Remove redundant import for lenovo loader script
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Commits on Oct 5, 2021
Remove never-used library `pytorch_lightning` in `setup.cfg`
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Commits on Sep 20, 2021
Add option to include `O`-class for computing F1-score
yzchyx
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Compute micro F1-score by inferring `labels` automatically and then discarding O from the list (#14)
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