XAIQA: Explainer-Based Data Augmentation for Extractive Question Answering

no code implementations • 6 Dec 2023 • Joel Stremmel, Ardavan Saeedi, Hamid Hassanzadeh, Sanjit Batra, Jeffrey Hertzberg, Jaime Murillo, Eran Halperin

Our method uses the idea of a classification model explainer to generate questions and answers about medical concepts corresponding to medical codes.

Data Augmentation Extractive Question-Answering +2

Extend and Explain: Interpreting Very Long Language Models

2 code implementations • 2 Sep 2022 • Joel Stremmel, Brian L. Hill, Jeffrey Hertzberg, Jaime Murillo, Llewelyn Allotey, Eran Halperin

While Transformer language models (LMs) are state-of-the-art for information extraction, long text introduces computational challenges requiring suboptimal preprocessing steps or alternative model architectures.