04/19/231

CycL Semantic Annotation

Dave SchneiderApril 2005

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CycL as Deep Semantic Representation

OpenCyc (47K concepts and taxonomy, free for any use)– Growing closer to Cyc’s 130K+ Concepts– Inference Engine designed for use with very large ontology– Higher-order Logical Representation– Download at opencyc.org

ResearchCyc (free for research purposes)– OpenCyc concepts– Axioms inter-relating concepts– Lexical Mappings– Most contents in First-Order Logic

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He will probably be extradited to the U.S. for trial under an extradition treaty President Virgilia Barco has revived.

Extradition001: Extradition(objectOfControlTranser Extradition001 JoseAbelloSilva) (fromOrganization Extradition-001 Colombia) (toOrganization Extradition-001 UnitedStatesOfAmerica) (dateOfEvent Extradition001 Date002)(likelihoodOfEvent Extradition001 Likely)

Date002: Date(startsAfterEndingOf Date002 PublicationDate-Indexical)

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He will probably be extradited to the U.S. for trial under an extradition treaty President Virgilia Barco has revived. (cont)

Revival-001: RevivingAnAgreement(isa Revival-001 RevivingAnAgreement)(objectOfStateChange Revival-001 Treaty-001)(performedBy Revival-001 VirgiliaBarco)

Date003: Date(dateOfEvent Revival-001 Date003)(temporallyPrecedes Date003 PublicationDate-Indexical)

Treaty-001: Treaty (topicOfPCW Treaty-001 Extradition) (agreementAllows Treaty-001 UnitedStatesOfAmerica

(SubcollectionOfWithRelationToFn Extradition fromOrganization Colombia))

(agreeingAgents Treaty-001 UnitedStatesOfAmerica) (agreeingAgents Treaty-001 Colombia)

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Partial Annotation Strategies

Deep Entity Typing Entity Identification

(reference resolution to actual individuals) Events and Roles Temporal Expressions and their relation to events

Can be projected onto existing annotation standards

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CycL Annotation

Current Annotation Status– Small amount of newswire and English questions for tool development

Expected Uses– Automated Reasoning (for use just about anywhere)– Machine Translation

interlingua and/or for consistency checking– Information Extraction

Much deeper entity and relation types– Question Answering

Understand questions and documents for automated reasoning Sanity checking, etc.

– Word Sense Disambiguation– Summarization

Full Annotation provides semantic document content