Selective Text Classification System

A Selective Text Classification System is a text classification system that is an efficient NLP system implementing selective attention algorithms to solve selective text classification tasks.

• AKA: Sparse Attention Classifier, Selective Processing System.
• Context:
  • It can typically implement Selection Modules with sparsity constraints.
  • It can typically employ Gating Mechanisms for relevance filtering.
  • It can typically utilize Masked Classifications on selected subsets.
  • It can typically maintain Selection Historys for interpretability.
  • It can typically provide Visualization Interfaces showing selected regions.
  • ...
  • It can often use Reinforcement Learning for selection policy.
  • It can often employ Top-K Selections with learned thresholds.
  • It can often incorporate Differentiable Selections for end-to-end training.
  • It can often implement Hierarchical Selections from word to paragraph.
  • ...
  • It can range from being a Hard Selection System to being a Soft Selection System, depending on its attention mechanism.
  • It can range from being a Static Selection System to being an Adaptive Selection System, depending on its selection strategy.
  • ...
  • It can process Text Inputs with efficiency requirements.
  • It can output Classification Results with selection masks.
  • It can integrate with Real-Time Applications requiring fast processing.
  • It can be evaluated by Selective Classification Performance Measures.
  • ...
• Example(s):
  • Sparse Transformer Classifiers with learned attention patterns.
  • FRESH-Based Systems using frozen selectors.
  • Information Bottleneck Classifiers with compression layers.
  • Hard Attention Systems using REINFORCE algorithm.
  • Adaptive Computation Systems with early stopping.
  • ...
• Counter-Example(s):
  • Dense Neural Classifiers processing all input tokens.
  • Bag-of-Words Classifiers without selection mechanism.
  • Convolutional Classifiers with fixed receptive fields.
• See: Efficient Classification System, Sparse Attention System, Interpretable Classifier, Selective Processing System.

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