Text Segmentation Performance Measure
A Text Segmentation Performance Measure is an NLP performance measure that evaluates the effectiveness of text segmentation system (on text segmentation).
- Context:
- It can (typically) assess how accurately an algorithm can identify and separate distinct segments within a text.
- It can (often) compare the algorithm's segmented output against a gold standard or reference segmentation.
- It can employ various statistical and computational techniques to quantify segmentation accuracy.
- It can be critical in applications such as Natural Language Processing, Information Retrieval, and Document Analysis.
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- Example(s):
- Counter-Example(s):
- Precision and Recall (used for general classification tasks).
- BLEU Score (used for evaluating machine translation).
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- See: Text Segmentation, Natural Language Processing, Performance Evaluation.