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 Discourse segmenter for DISRPT 2021
 
-Data for DISRPT 2021: https://github.com/disrpt/sharedtask2021 
-Website DISRPT 2021: https://sites.google.com/georgetown.edu/disrpt2021
-Code for DISRTP 2019: https://gitlab.inria.fr/andiamo/tony
-
-## Meeting 04.06.2021
-
-TODO:
-x- install allennlp 0.9 + tony19
-x- train a model (on english for instance)
-x- test it with tony script
-x- begin reading the tutorial on allennlp
-x- continue with general reading NLP
-
-Next steps:
-x- change to allennlp 1.xx
-- switch to xlm multi lingual
-- play with some hyper-parameters
-- go back on the architecture: add the CRF layer on top of BERT/LSTM
-- grouping the corpora during training
-- the sentence problem ? how do we address it
-
-## Meeting 21.05.2021
-
-TODO:
-- install allennlp 0.9 + tony19
-- train a model (on english for instance)
-- test it with tony script
-- begin reading the tutorial on allennlp
-- continue with general reading NLP
-
-Next steps:
-- change to allennlp 1.xx
-- switch to xlm multi lingual
-- grouping the corpora during training
-- the sentence problem ? how do we address it
+Useful Links:
+- Data for DISRPT 2021: https://github.com/disrpt/sharedtask2021 
+- Website DISRPT 2021: https://sites.google.com/georgetown.edu/disrpt2021
+- Code for DISRTP 2019: https://gitlab.inria.fr/andiamo/tony
+
+Requirements:
+- python 3.7
+- requirements.txt: `pip install -r requirements.txt`
+- pytorch: `pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio===0.9.0 -f https://download.pytorch.org/whl/torch_stable.html`
+
+Usage:
+- train: `bash expes.sh eng.rst.rstdt conllu bert train`
+- test: `bash expes.sh eng.rst.rstdt conllu bert test`
+- fine-tune with other model: `bash expes.sh eng.rst.rstdt conllu bert train eng`
+- test on other model: `bash expes.sh eng.rst.rstdt conllu bert test eng`
+- merge two datasets: `bash merger.sh eng.rst.rstdt eng.rst.gum eng`
+- split with stanza: `python parse_corpus.py eng.rst.rstdt --parser stanza`