*Said "dishing" - Serving nutritious texts on smaller dishes.

Authors:

Raul Sena, Victor Bursztyn and Ygor Canalli. - {raulsf,vbursztyn,canalli}@cos.ufrj.br

Corpus credits:

CSTNews (by Aleixo, Pardo et al.) - http://www.icmc.usp.br/~taspardo/sucinto/index.html

#1. Requirements:

• Python 2.7 (restriction due to OR-tools dependency)
• MongoDB
• Virtualenv (includes suitable versions for Python and pip):
• Create and activate your virtualenv
• pip install -r requirements.txt
• OR-tools
• In case pip fails at OR-tools, please follow the instructions to install it manually [ https://developers.google.com/optimization/installing ]
• In the worst case, download and easy_install its egg directly [ https://pypi.python.org/simple/ortools/ ]
• NLTk Trainer on MacMorpho
• Activate your virtualenv
• At project's root:
• python -m nltk.downloader punkt mac_morpho stopwords * python $VIRTUAL_ENV/src/nltk-trainer-master/train_tagger.py mac_morpho --filename aggregator/pos_tagger/mac_morpho_pos_tagger.pickle --no-eval

Ensure you have all dependencies correctly installed before attempting to run DESHIN.

#2. Usage:

• Pre-processing only:
• Activate your virtualenv
• bash run_etl.sh
• Batch summarizer only:
• Activate your virtualenv
• bash run_experiment.sh
• Entire workflow:
• Activate your virtualenv
• bash run_all.sh