Papers with post-hoc calibration of coarse-grained positions

    1 papers
    Hierarchical Structured Model for Fine-to-Coarse Manifesto Text Analysis (N18-1)

    Copied to clipboard

    Challenge: Election manifestos document the intentions, motives, and views of political parties.
    Approach: They propose a hierarchical structured deep model to predict fine- and coarse-grained positions and a probabilistic soft logic model to perform post-hoc calibration of coarse- and fine-grain positions.
    Outcome: The proposed model outperforms state-of-the-art approaches at both granularities using manifestos from twelve countries, written in ten different languages.

    What is GenGO?

    GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

    Information

    About
    Limitations