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Home Page: https://arxiv.org/pdf/2010.09926
License: MIT License
Dataset and code for "Explainable Automated Fact-Checking for Public Health Claims" from EMNLP 2020.
Home Page: https://arxiv.org/pdf/2010.09926
License: MIT License
Dear author,
Thanks for your great work. However, I find bug when I try to load dev.tsv. I use pd.read_csv
and the length of the data is 1221 rather than 1227 in the README. Could you please provide some code about loading the dataset?
Hi, thanks for creating this dataset!
In sec. 4.1 of your paper, it looks like you use a pipeline where you select relevant sentences from an evidence document, and then use BERT to predict the relation between the selected sentences and the claim. Does the main_text
field in the data you make available for download correspond to the input evidence document?
What exactly is the relationship between the main_text
and the sources
? Is the main_text
just the concatenation of the text from all the sources
- and if so, what's going on in the cases where there is no source listed?
Thanks for the clarification!
Dave
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