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emergent
ferreira/model
mturk
LICENSE
README.md
active.py
crowd.py
data_pp.py
edata.pkl
edata_all.csv
edata_pp.pkl
edata_pp_020.pkl
features.py
models.py
ner.py
plot_all.py
requirements.txt
run.py
run_experiment.py
run_transfer.py
script.py
util.py
val_run_crowd.py
vera.csv
vera2.csv

README.md

Fact-checking from crowds

Paper:

An Interpretable Joint Graphical Model for Fact-Checking from Crowds
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18)

Demo: http://fcweb.pythonanywhere.com/#

The Emergent dataset and the text features extraction for stance classification are from

Ferreira, W., & Vlachos, A. (2016). Emergent: a novel data-set for stance classification.
In Proceedings of the 2016 conference of the North American chapter of the association for computational linguistics: Human language technologies (pp. 1163-1168).

To run offline/online experiments:

python run_experiment.py offline

or

python run_experiment.py online

Mturk directory contains stance labels collected by Amazon Mechanical Turk. The worker IDs have been mapped to another set of IDs.