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Franck Dary
macaon_data
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6607203eb2188e6fee98dd10b2874b012caaa9df
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Created with Raphaël 2.2.0
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Added scripts to launch experiments from my thesis
master
master
Added error message when prepareExperiments fail
Updated liscluster hostname
Added script to add new column to conllu
Added script to append column containing lexicon pos information into conllu file
fixed script to generate embeddings from lexicon
Improved script to generate w2v based on lefff pos
Merge branch 'master' of https://gitlab.lis-lab.fr/franck.dary/macaon_data
Added script to create word embeddings based on what POS can a word have
Improved conllu2latex
Added new machines templates
updated templates machines
Added script to clean w2v file of long words
conllu2latex now hides empty cells depending on strategy
conllu2latex is now able to produce feat function comparisons
Added incr and seq paths to conllu2latex
Allowing to pass mcd to training
Merge branch 'master' of https://gitlab.lis-lab.fr/franck.dary/macaon_data
script to check problem also output sentences without any problem
Added script to copy a column
Fixed script concatW2V
Improved diverse scripts
Improved script conllu2tikz
In conllu2latex.py : added eos, feats
In conllu2latex.py, deleted useless cline
Improved script conllu2latex.py (vertical spaces between tables)
Improved conllu2latex, now alow line breaks
Added script mcf2conllu
Added script to convert conllu sentence to latex table
Merge branch 'master' of https://gitlab.lis-lab.fr/franck.dary/macaon_data
Added script to transform conllu into tikz figure
Added script to recompose full corpus prediction after cross validation training
Added jobid in stderr when launching job on cluster. Changed gpu partition to all in liscluster
Fixed bug in createKFolds
Added script to split UD corpus into k folds
Added colnames in eval script for error comparison
Added argument pretrained= to train.sh, to chose which column to apply Glove to
Added some results
Added default MCD in filterEmbeddings script and added script to compute word coverage
Increased pretrained embeddings size from 64 to 128
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