Recent advances in automatic knowledge acquisition methods have enabled us to construct massive knowledge bases of semantic relations. Most previous work has focused on semantic relations explicitly expressed in single sentences. Our goal in this work is to obtain valid non-single sentence relation instances, which are not written in any single sentence and may not be even written in a large corpus. We develop a method to infer new semantic relation instances by applying auto-discovered inference rules, and show that our method inferred a considerable number of valid instances that were not written in single sentences even in 600 million Web pages.
Regarding the acquisition of semantic knowledge that is not explicitly written in corpora, REF proposed a novel method to generate semantic relation instances as hypotheses using automatically discovered inference rules.
Toward Finding Semantic Relations not Written in a Single Sentence: An Inference Method using Auto-Discovered Rules
IJCNLP
Computer Science