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Perplexity

In information theory, perplexity is a measurement of how well a probability distribution or probability model predicts a sample. It may be used to compare probability models. A low perplexity indicates the probability distribution is good at predicting the sample.

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Overview

Perplexity of a Probability Distribution

Perplexity of a probability model

Perplexity per word

Advanced semantic analysis

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Map overview Semantic statistics

Perplexity

Nodes31
Edges30
Triples32
Avg. degree1.94
Density0.064516
Components1

How this topic connects Entity context

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Perplexity

Top relations

related to Brown corpus · 8
Perplexity → American English, Brown, Brown Corpus, It, Simply, The, This, Using
related to Perplexity per word · 7
Perplexity → Consequently, However, In, NLP, Suppose, This, Thus
related to Recent Advances in Language Modeling · 5
Perplexity → BERT, Despite, GPT-2, Since, This
related to Perplexity of a Probability Distribution · 4
Perplexity → In, It, PP, The
related to Perplexity of a probability model · 4
Perplexity → Better, Given, The, Thus
is a · 2
Perplexity → exponentiation of the entropy, measurement of how well a probability distribution or probability model predicts a sample

Important terminology Word statistics

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Important terminology

probability model distribution sample corpus may word test models per measure displaystyle language also bits one entropy random variable using

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Perplexityis ameasurement of how well a probability distribution or probability model predicts a sample0.90text
Perplexityis aexponentiation of the entropy0.90text
linguistic featuresinstance ofalthough it has been found sensitive to factors0.80text
sentence lengthinstance ofalthough it has been found sensitive to factors0.80text
Perplexityrelated to Brown corpusThe0.60section
Perplexityrelated to Brown corpusBrown Corpus0.60section
Perplexityrelated to Brown corpusAmerican English0.60section
Perplexityrelated to Brown corpusIt0.60section
Perplexityrelated to Brown corpusSimply0.60section
Perplexityrelated to Brown corpusBrown0.60section
Perplexityrelated to Brown corpusThis0.60section
Perplexityrelated to Brown corpusUsing0.60section

Related concept clusters Concept neighborhoods

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    Connections between topic areas Semantic bridges

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    Min side: 3
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