How to use conll2017 baseline ？
zhou-zh opened this issue · comments
Thanks for your great works！I saw your reply on stackoverflow, i know you have built your own system, i have two problemsa about it:
- You trianed your model on English, i also trian once. Official offer different language models for conll2017 baselines，i don't konw which are entries for modify scipt to train differnt language models?
- Your eval scipt is well , but their README mentioned the baseline_eval.py can't find , do you know where is it?
I am sorry for that my problems maybe not directly related to your models. But those are really important for me，if you know please tell me , thanks very much.
hello~
- i understand that you want to train other language model. if then, you can check this issue.
- #21 (comment)
- to train, basically, downloading UD corpuses required.
- after downloading, modify train_dragnn.sh for a language and run the script.
SRC_CORPUS_DIR=${CDIR}/UD_English
TRAIN_FILE=${DATA_DIR}/en-ud-train.conllu.conv
DEV_FILE=${DATA_DIR}/en-ud-dev.conllu.conv
- you can check tensorflow/models#1211 (comment)
@dsindex , thanks for your reply !
If i hope change a language to trian, I should just modify the path to the data set for corresponding language ?
We do not need to use the different models provided by the CoNLL2017 baselines guide ?
I thought that different lanuage models have different word-map.
@continuesmile
yes~
place a corpus to the path and modify script for training your own model.
the models provided by the CoNLL2017 baselines guide were trained by https://github.com/tensorflow/models/tree/master/syntaxnet/dragnn/tools
those script are the original one. mine is modified version for convenience.
