Automatic Stance Detection Using End-to-End Memory Networks

north american chapter of the association for computational linguistics, pp. 767-776, 2018.

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Abstract:

We present a novel end-to-end memory network for stance detection, which jointly (i) predicts whether a document agrees, disagrees, discusses or is unrelated with respect to a given target claim, and also (ii) extracts snippets of evidence for that prediction. The network operates at the paragraph level and integrates convolutional and re...More

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