Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health

1 code implementation • Findings (EMNLP) 2021 • Andrew Lee, Jonathan K. Kummerfeld, Lawrence C. An, Rada Mihalcea

Many statistical models have high accuracy on test benchmarks, but are not explainable, struggle in low-resource scenarios, cannot be reused for multiple tasks, and cannot easily integrate domain expertise.

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