A toolkit for knowledge base population

Zheng Chen, Suzanne Tamang, Adam Lee, Heng Ji

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

Abstract

The main goal of knowledge base population (KBP) is to distill entity information (e.g., facts of a person) from multiple unstructured and semi-structured data sources, and incorporate the information into a knowledge base (KB). In this work, we intend to release an open source KBP toolkit that is publicly available for research purposes.

Original languageEnglish (US)
Title of host publicationSIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval
PublisherAssociation for Computing Machinery
Number of pages1
ISBN (Print)9781450309349
DOIs
StatePublished - Jan 1 2011
Externally publishedYes
Event34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011 - Beijing, China
Duration: Jul 24 2011Jul 28 2011

Publication series

NameSIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval

Other

Other34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011
CountryChina
CityBeijing
Period7/24/117/28/11

Keywords

  • Knowledge base population
  • Toolkit

ASJC Scopus subject areas

  • Information Systems

Cite this

Chen, Z., Tamang, S., Lee, A., & Ji, H. (2011). A toolkit for knowledge base population. In SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval). Association for Computing Machinery. https://doi.org/10.1145/2009916.2010153