Multi-resolution Interpretation and Diagnostics Tool for Natural Language Classifiers

no code implementations • 6 Mar 2023 • Peyman Jalali, Nengfeng Zhou, Yufei Yu

Developing explainability methods for Natural Language Processing (NLP) models is a challenging task, for two main reasons.

Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace

no code implementations • 20 Apr 2021 • Rahul Singh, Karan Jindal, Yufei Yu, Hanyu Yang, Tarun Joshi, Matthew A. Campbell, Wayne B. Shoumaker

This paper proposes a strategy to assess the robustness of different machine learning models that involve natural language processing (NLP).

BIG-bench Machine Learning