Papers with target stance prediction task

1 papers
Neural Multi-Task Learning for Stance Prediction (D19-66)

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Challenge: Existing models for fact checking are limited in size due to limited data available . stance detection is a key component of fact checking for journalists and news agencies .
Approach: They propose to use textual information from existing datasets to improve stance prediction.
Outcome: The proposed model outperforms state-of-the-art systems on a public benchmark dataset by 6.0 and 14.4 points in weighting.

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