Knowledge Base Population (KBP) is an evaluation series within the Text Analysis Conference (TAC) evaluation campaign conducted by the National Institute of Standards and Technology (NIST). Over the past nine years TAC KBP evaluations have targeted information extraction technologies for the population of knowledge bases comprised of entities, relations, and events. Linguistic Data Consortium (LDC) has supported TAC KBP since 2009, developing, maintaining, and distributing linguistic resources in three languages for seven distinct evaluation tracks. This paper describes LDC's resource creation efforts for the various KBP tracks, and highlights changes made over the years to support evolving evaluation requirements.
@InProceedings{GETMAN18.1047, author = {Jeremy Getman and Joe Ellis and Stephanie Strassel and Zhiyi Song and Jennifer Tracey}, title = "{Laying the Groundwork for Knowledge Base Population: Nine Years of Linguistic Resources for TAC KBP}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
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