论文标题
狗有胡须吗？ Haspart关系的新知识基础
Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations
论文作者
论文摘要
我们提出了从大量通用语句中提取的Haspart关系的新知识基础。与其他可用资源的补充，这是第一个是：准确的（精度为90％），显着（涵盖一个人可能提到的关系），并且具有高度的常见术语（近似于10岁的词汇量之内），并且比普通本体概念网和WordNet和WordNet中的HASPART参赛作品多得多。此外，它还包含有关量词，参数修饰符的信息，并将实体与Wikipedia和WordNet中的适当概念联系起来。知识库可从https://allenai.org/data/haspartkb获得
We present a new knowledge-base of hasPart relationships, extracted from a large corpus of generic statements. Complementary to other resources available, it is the first which is all three of: accurate (90% precision), salient (covers relationships a person may mention), and has high coverage of common terms (approximated as within a 10 year old's vocabulary), as well as having several times more hasPart entries than in the popular ontologies ConceptNet and WordNet. In addition, it contains information about quantifiers, argument modifiers, and links the entities to appropriate concepts in Wikipedia and WordNet. The knowledge base is available at https://allenai.org/data/haspartkb
