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Task209 stance detection #128
Task209 stance detection #128
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"Maitreya Patel" | ||
], | ||
"Source": [ | ||
"Unsupervised Stance Detection for Arguments from Consequences by Kobbe et. al." |
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could you include a url to the data source?
"Categories": [ | ||
"Classification" | ||
], | ||
"Definition": "Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances \"in favor\", \"against\", and \"neither\". ", |
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Would it make sense to change "neither" to "neutral"?
Few suggestions; otherwise, it looks good to me! |
Thanks! Looks good to me! |
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Looks good!
One comment: See if you can create other tasks from the same dataset. The data creation process in the paper may help you in this direction.
I have created task .json file for stance detection.