Papers by Nirupama Chandrasekaran

    1 papers
    MS-LaTTE: A Dataset of Where and When To-do Tasks are Completed (2022.lrec-1)

    Copied to clipboard

    Challenge: Tasks are a fundamental unit of work in the daily lives of people, who are increasingly using digital means to keep track of, organize, triage, and act on them.
    Approach: They compile and release a large-scale dataset that captures location and time for tasks and a BERT-fine-tuned model that predicts task co-occurrence.
    Outcome: The proposed framework captures location and time, and predicts task co-occurrence with a BERT fine-tuned model outperforming baselines.

    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