Open question answering over curated and extracted knowledge bases 论文
2014引用 427
Topic ModelingNatural Language Processing TechniquesSemantic Web and Ontologies
摘要
We consider the problem of open-domain question answering (Open QA) over massive knowledge bases (KBs). Existing approaches use either manually curated KBs like Freebase or KBs automatically extracted from unstructured text. In this paper, we present OQA, the first approach to leverage both curated and extracted KBs.