Finding associations between people

Eduardo Blanco, Dan Moldovan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Associations between people and other concepts are common in text and range from distant to close connections. This paper discusses and justifies the need to consider subtypes of the generic relation ASSOCIATION. Semantic primitives are used as a concise and formal way of specifying the key semantic differences between subtypes. A taxonomy of association relations is proposed, and a method based on composing previously extracted relations is used to extract subtypes. Experimental results show high precision and moderate recall.

Original languageEnglish (US)
Title of host publicationProceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25
Pages196-201
Number of pages6
StatePublished - 2012
Externally publishedYes
Event25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25 - Marco Island, FL, United States
Duration: May 23 2012May 25 2012

Publication series

NameProceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25

Other

Other25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25
Country/TerritoryUnited States
CityMarco Island, FL
Period5/23/125/25/12

ASJC Scopus subject areas

  • Artificial Intelligence

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