Interactive Knowledge Base Population
| dc.contributor.author | Wolfe, Travis | |
| dc.contributor.author | Dredze, Mark | |
| dc.contributor.author | Mayfield, James | |
| dc.contributor.author | McNamee, Paul | |
| dc.date.accessioned | 2018-11-01T16:16:37Z | |
| dc.date.available | 2018-11-01T16:16:37Z | |
| dc.date.issued | 2015-05-15 | |
| dc.description.abstract | Most work on building knowledge bases has focused on collecting entities and facts from as large a collection of documents as possible. We argue for and describe a new paradigm where the focus is on a high-recall extraction over a small collection of documents under the supervision of a human expert, that we call Interactive Knowledge Base Population (IKBP). | en_US |
| dc.description.uri | https://ebiquity.umbc.edu/paper/html/id/702/Interactive-Knowledge-Base-Population | en_US |
| dc.format.extent | 6 pages | en_US |
| dc.genre | conference papers and proceedings | en_US |
| dc.identifier | doi:10.13016/M2JH3D62J | |
| dc.identifier.uri | http://hdl.handle.net/11603/11824 | |
| dc.language.iso | en_US | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | This 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.subject | natural language processing | en_US |
| dc.subject | knowledge base | en_US |
| dc.subject | information extraction | en_US |
| dc.subject | UMBC Ebiquity Research Group | en_US |
| dc.title | Interactive Knowledge Base Population | en_US |
| dc.type | Text | en_US |