Modeling Semantic Similarities in Multiple Maps

Intelligent Database Systems Lab

國立雲林科技大學National Yunlin University of Science and Technology

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Modeling Semantic Similarities inMultiple Maps

Presenter : Wei-Hao Huang 　Authors : Laurens van der Maaten, Geoffrey Hinton

EWI-ICT TR, 2009

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.

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Outlines Motivation Objectives Methodology Experiments Conclusions Comments

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Motivation· Semantic space models cannot faithfully

represent intransitive pairwise similarities or the similarities of words that have multiple meanings.─ Triangle inequality─ Nearest neighbor is limited─ Similarities are symmetric

tie

suittuxedo

ropeknot

Animal

dogdog

dog

dog

dogChina

North Korea

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I. M.Objectives

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• To propose multiple map SNE to solve fundamental limitations of metric spaces

tie

suittuxedo

ropeknot

tie

suittuxedo

tie

rope

knot

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Methodology· Stochastic neighbor embedding· Multiple maps SNE

Map Map2Map1 Map3

Data

SNE Multiple maps SNE

Data

Mixing proportion

(importance)

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I. M.Methodology· Stochastic neighbor embedding

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tie

suittuxedo

ropeknot

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I. M.Methodology· Multiple map SNE

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tieropesuit

tie animal animal

dog dog

dog

dog dog

dog

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I. M.Methodology· Multiple map SNE

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A*C=1*1/2=1/2

B*C=1*1/2=1/2

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I. M.Experiments· Visualization Experiments

─ Florida State University word association dataset─ Selecting 5019 words

· Generalization Experiments─ To evidence their model for semantic representation─ Training data: 80%─ Validation data: 10%─ Test data: 10%

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I. M.Experiments· Visualization

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I. M.Experiments

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Sport

Clothing

Statue of Liberty

Cheerleader

Cheerleader

Tie

Tiemonarchy

monarchy

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I. M.Experiments· Generalization

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I. M.Experiments· Comparing multiple maps SNE with other

method.─ Semantic space models─ Semantic networks ─ Topic models

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I. M.Conclusions· The multiple maps SNE alleviates the

fundamental limitations of metric spaces.· Multiple map model has characteristics that

are similar to those of topic models.

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N.Y.U.S.T.

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Comments· Advantages

─ Multiple maps SNE alleviates the fundamental limitations of metric spaces

· Applications─ Data visualization─ Semantic similarities