PRIS at TAC2010 KBP Track
Published 1 January 2010
Sanyuan Gao, Yichao Cai, Si Li, Zongyu Zhang, Jingyi Guan, Li Yan
Citations9
SJR quartileQ2
SJR score0.56
SNIP0.86
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TL;DR
In the entity-linking task, a supervised machine learning method based on CRF model and a rule pattern method were used to select proper answers for slots to improve the linking results.
Abstract
This paper describes our participation in Knowledge Base Population track at TAC2010. In the entity-linking task, we combined machine learning-based methods and rule-based methods to improve the linking results. In the slot filling task, a supervised machine learning method based on CRF model and a rule pattern method were used to select proper answers for slots. 1
Keywords
Computer ScienceDecision Sciences