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cs.CL2023
XAIQA: Explainer-Based Data Augmentation for Extractive Question Answering
Joel Stremmel, Ardavan Saeedi, Hamid Hassanzadeh +4
Extractive question answering (QA) systems can enable physicians and researchers to query medical records, a foundational capability for designing clinical studies and understandin…
cs.CL2022
Extend and Explain: Interpreting Very Long Language Models
Joel Stremmel, Brian L. Hill, Jeffrey Hertzberg +3
While Transformer language models (LMs) are state-of-the-art for information extraction, long text introduces computational challenges requiring suboptimal preprocessing steps or a…