Papers by Narayan Acharya

    1 papers
    Querying Across Genres for Medical Claims in News (2020.emnlp-main)

    Copied to clipboard

    Challenge: Using cross-genre query-based biomedical information retrieval, we find the research publication that supports the primary claim made in a news article.
    Approach: They propose a query-based biomedical information retrieval task where the goal is to find the research publication that supports the primary claim made in a news article.
    Outcome: The proposed approach compares classical IR with more recent transformer-based models and shows that it is feasible but requires domain-specific knowledge.

    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