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Document AI

Document AI, also known as Document Intelligence, refers to a field of technology that employs machine learning (ML) techniques, such as natural language processing (NLP). These techniques are used to develop computer models capable of analyzing documents in a manner akin to human review.

Technology & Products

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Explore the main themes, entities and connections around Document AI. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Overview

Key features

Example

Data dimensions and ML architecture

Advanced semantic analysis

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Map overview Semantic statistics

Document AI

Nodes23
Edges22
Triples24
Avg. degree1.91
Density0.086957
Components1

How this topic connects Entity context

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Document AI

Top relations

related to Key features · 5
Document AI → Additionally, Machine, Since, The, This
related to Benchmarks · 4
Document AI → Form Understanding, FUNSD, Noisy Scanned Documents, Several
related to Common uses · 4
Document AI → AI, In, They, With
related to Data dimensions and ML architecture · 3
Document AI → Data, Historically, With
is a · 1
Document AI → example of this

Important terminology Word statistics

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Important terminology

document ai documents extraction information data technology processing systems forms text business letter contains address also machine learning language used

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Document AIis aexample of this0.90text
stock prices or voice recordingsinstance ofwhile the latter includes signals0.80text
counterfeit currencyinstance ofand fraud detection0.80text
fraudulent checks.They are also applied in regulatory complianceinstance ofand fraud detection0.80text
contract analysisinstance ofand fraud detection0.80text
including assessing changes in legalinstance ofand fraud detection0.80text
regulatory documentsinstance ofand fraud detection0.80text
contracts or business forms from natural language promptsinstance ofDocument AI systems can also generate and pre-fill structured documents0.80text
Document AIrelated to BenchmarksSeveral0.60section
Document AIrelated to BenchmarksFUNSD0.60section
Document AIrelated to BenchmarksForm Understanding0.60section
Document AIrelated to BenchmarksNoisy Scanned Documents0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

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    Min side: 3
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