Papers with cascaded method

2 papers
Predicting the Topical Stance and Political Leaning of Media using Tweets (2020.acl-main)

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Challenge: Existing methods for determining stances of media outlets and influential people are expensive.
Approach: They propose a method that uses unsupervised learning to ascertain the stance of Twitter users with respect to a polarizing topic by leveraging their retweet behavior.
Outcome: The proposed method achieves 82.6% accuracy compared to gold labels from the Media Bias/Fact Check website .
Jointly Learning to Repair Code and Generate Commit Message (2021.emnlp-main)

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Challenge: Existing work performs code repair and commit message generation independently.
Approach: They propose a cascaded method to repair program codes and generate commit messages in a unified framework.
Outcome: The proposed model significantly outperforms baselines on a buggy-fixed-commit dataset.

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