CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
FBK-IRST: kernel methods for semantic relation extraction
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
SemEval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Using grammar rule clusters for semantic relation classification
RELMS '11 Proceedings of the ACL 2011 Workshop on Relational Models of Semantics
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We present an approach for semantic relation extraction between nominals that combines semantic information with shallow syntactic processing. We propose to use the ResearchCyc knowledge base as a source of semantic information about nominals. Each source of information is represented by a specific kernel function. The experiments were carried out using support vector machines as a classifier. The system achieves an overall F1 of 77.62% on the "Multi-Way Classification of Semantic Relations Between Pairs of Nominals" task at SemEval-2010.