A toolkit for knowledge base population

Authors:
Zheng Chen;Suzanne Tamang;Adam Lee;Heng Ji
Affiliations:
Graduate Center, City University of New York, New York, NY, USA;Graduate Center, City University of New York, New York, NY, USA;Queens College, City University of New York, New York, NY, USA;Queens College, City University of New York, New York, NY, USA
Venue:
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Year:
2011

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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.