Knowledge Base Evaluation for Semantic Knowledge Discovery

Simple item page
dc.contributor.authorMayfield, James
dc.contributor.authorDorr, Bonnie J.
dc.contributor.authorFinin, Tim
dc.contributor.authorOard, Doug
dc.contributor.authorPiatko, Christine
dc.date.accessioned2018-11-28T17:59:54Z
dc.date.available2018-11-28T17:59:54Z
dc.date.issued2008-11-14
dc.descriptionProceedings of the NSF Sponsored Symposium Semantic Knowledge Discovery, Organization and Use; New York University; Nov. 14-15, 2008en_US
dc.description.abstractSemantic knowledge discovery has traditionally been evaluated at the text level. For example, evaluations such as MUC and ACE evaluate the information extraction of particular types of semantic roles and relations primarily at the mention level. We suggest that evaluating at the level of a knowledge base (KB) extracted from the text has significant advantages over evaluation at the text level. By knowledge base, we mean the combination of a database, a descriptive schema for the contents of the database, a collection of background knowledge, and an inference capability.en_US
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/423/Knowledge-Base-Evaluation-for-Semantic-Knowledge-Discoveryen_US
dc.format.extent2 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.genrepreprints
dc.identifierdoi:10.13016/M2ZP3W45B
dc.identifier.urihttp://hdl.handle.net/11603/12110
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectKnowledge Base Evaluationen_US
dc.subjectSemantic Knowledge Discoveryen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleKnowledge Base Evaluation for Semantic Knowledge Discoveryen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-6593-1792

Files

License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.56 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection