Papers with percentage points F1 score

    1 papers
    Multi-view Models for Political Ideology Detection of News Articles (D18-1)

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    Challenge: Existing models for automatic detection of political ideology only leverage textual cues to identify the ideology evinced by a news article.
    Approach: They propose a novel attention based multi-view model that leverages cues from textual content and the network structure of news articles to identify political ideology.
    Outcome: The proposed model outperforms state of the art models by 10 percentage points on a battery of baselines and compares with baselines.

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