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FrameNet

FrameNet is a group of online lexical databases based upon the theory of meaning known as Frame semantics, developed by linguist Charles J. Fillmore. The project's fundamental notion is simple: most words' meanings may be best understood in terms of a semantic frame, which is a description of a certain kind of event, connection, or item and its actors.

Applications & Measurement

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Research this topic

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

Explore this topic

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Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Owner
Collin Baker (current project manager)
Location
International Computer Science Institute in Berkeley, California
Commercial?
No (freely available for download)
Established
1997; 29 years ago (1997)
Founder
Charles J. Fillmore
Mission statement
Building a lexical database based on a theory of meaning called frame semantics.

Topics to explore

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Overview

Concepts

Applications

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

FrameNet

Nodes25
Edges24
Triples78
Avg. degree1.92
Density0.08
Components1

How this topic connects Entity context

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FrameNet

Top relations

related to Frame relations · 24
FrameNet → Anything, Arrest, Causative, Connects, Death, For, Her, Inchoative, Inheritance, Judgment, Metaphor, Perspective, Precedes, See, She, Some, Statement, Suasion, Subframe, These
related to Further reading · 21
FrameNet → Archived, Baker, Berkeley, CA, Christopher, Collin, Ellsworth, Extended Theory, FrameNet II, International Computer Science Institute, Jan, Johnson, Josef, Michael, Miriam, November, PDF, Petruck, Practice, Ruppenhofer
has application · 14
FrameNet → Daniel Gildea, Daniel Jurafsky, English FrameNets, German, Japanese, John, Mary, Natural Language Toolkit, Polish, Semantic Role Labeling, Since, Spanish, SRL, The
related to External links · 6
FrameNet → Archived, Brazil, FrameNetDanish FrameNetGerman FrameNet Archived, Spanish FrameNetSwedish FrameNet, Wayback MachineJapanese FrameNetKorean FrameNet, Wayback MachinePolish FrameNetPortuguese FrameNet
see also · 2
FrameNet → BabelNet, FrameNetPropBankWordNetNull
Commercial? · 1
FrameNet → No (freely available for download)
Established · 1
FrameNet → 1997; 29 years ago (1997)
Founder · 1
FrameNet → Charles J. Fillmore
Location · 1
FrameNet → International Computer Science Institute in Berkeley, California
Mission statement · 1
FrameNet → Building a lexical database based on a theory of meaning called frame semantics.

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

frame frames example elements lexical semantic sentences fes also units relations specific like born associated sentence role apply heat based

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
FrameNetCommercial?No (freely available for download)1.00infobox
FrameNetEstablished1997; 29 years ago (1997)1.00infobox
FrameNetFounderCharles J. Fillmore1.00infobox
FrameNetLocationInternational Computer Science Institute in Berkeley, California1.00infobox
FrameNetMission statementBuilding a lexical database based on a theory of meaning called frame semantics.1.00infobox
FrameNetOwnerCollin Baker (current project manager)1.00infobox
FrameNetType of projectLexical database (containing: frames, frame elements(FE), lexical units (LU), examples sentences, and frame relations)1.00infobox
FrameNetWebsiteframenet.icsi.berkeley.edu1.00infobox
FrameNetis agroup of online lexical databases based upon the theory of meaning known as Frame semantics0.90text
FrameNethas applicationJohn0.60section
FrameNethas applicationMary0.60section
FrameNethas applicationSemantic Role Labeling0.60section

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

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
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