TAC KBP

Text Analysis Conference Knowledge Base Population (TAC KBP)

The Text Analysis Conference (TAC) is a series of evaluations and workshops organized to promote research in natural language processing and related applications by providing a large test collection, common evaluation procedures, and a forum for organizations to share their results. The goal of TAC KBP is to develop and evaluate technologies for building and populating knowledge bases (KBs) about named entities from unstructured text. KBP systems must either populate an existing reference KB, or else build a KB from scratch.

Since 2009 LDC has supported TAC KBP through the development of source data and annotations and by contributing to task development activities and discussions each year. In 2013 LDC supported six KBP tracks, all aimed at improving the ability to automatically populate knowledge bases from text.

Additional Information

Xuansong Li, Stephanie M. Strassel, Heng Ji, Kira Griffitt, Joe Ellis
Linguistic Resources for Entity Linking Evaluation: from Monolingual to Cross-lingual
LREC 2012: 8th International Conference on Language Resources and Evaluation, Istanbul, May 21-27
Available: Paper in PDF

Paul McNamee, Hoa Trang Dang, Heather Simpson, Patrick Schone and Stephanie M. Strassel
An Evaluation of Technologies for Knowledge Base Population 
LREC 2010: 7th International Conference on Language Resources and Evaluation, Valletta, May 17-23
Available: Slides in PDF

Heather Simpson, Stephanie Strassel, Robert Parker, Paul McNamee
Wikipedia and the Web of Confusable Entities: Experience from Entity Linking Query Creation for TAC 2009 Knowledge Base Population 
LREC 2010: 7th International Conference on Language Resources and Evaluation, Valletta, May 17-23
Available: Paper in PDF