Papers with head-modifier template based method

    1 papers
    Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation (P19-1)

    Copied to clipboard

    Challenge: Existing generative methods overlook grammatical structure or make factual mistakes in generated texts.
    Approach: They propose a template-based method to ensure the readability of generated type descriptions . they also propose measurable metrics to measure the readibility of the generated type description .
    Outcome: The proposed method improves substantially compared with baselines and achieves state-of-the-art performance on both datasets.

    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