Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff.
Mitchell NaylorChristi FrenchSamantha TerkerUday KamathPublished in: CoRR (2021)
Keyphrases
- computational complexity
- computational cost
- optimization problems
- feature selection
- significant improvement
- free text
- computationally expensive
- real world
- real time
- worst case
- benchmark datasets
- orders of magnitude
- knowledge discovery
- convergence rate
- machine translation
- data mining algorithms
- computationally efficient
- data structure
- neural network
- databases
- data sets