- Owen Rambow, Daniel Bauer, Axinia Radeva, M. Alagesan, Gregorios A. Katsios, T. Strzalkowski, Claire Cardie, Mona T. Diab, Michael Arrigo, Jennifer Tracey, Adam Dalton, Greg A. Dubbin. 2016. The 2016 TAC KBP BeSt Evaluation. Abstract: This paper provides a summary of the Belief and Sentiment (BeSt) evaluation that was part of the 2016 NIST TAC KBP evaluation. The evaluation is based on the accuracy of adding belief or sentiment links in a knowledge base between existing knowledge base objects. This is the first evaluation to cover both belief and sentiment.
