Automated completion of open knowledge bases (KBs), which are constructed
from triples of the form (subject phrase, relation phrase, object phrase)
obtained via open information extraction (IE) from text, is useful for
discovering novel facts that may not directly be present in the text. However,
research in open knowledge base completion (KBC) has so far been limited to
resource-rich languages like English. Using the latest advances in multilingual
open IE, we construct the first multilingual open KBC dataset, called mOKB6,
that contains facts from Wikipedia in six languages (including English).
Improving the previous open KB construction pipeline by doing multilingual
coreference resolution and keeping only entity-linked triples, we create a
dense open KB. We experiment with several baseline models that have been
proposed for both open and closed KBs and observe a consistent benefit of using
knowledge gained from other languages. The dataset and accompanying code will
be made publicly available.

利用跨语言的开放信息提取的最新进展，通过多语言代词消解和保留仅有实体链接三组，构建了第一个含有六种语言的全面的开放式知识库 (mOKB6)，并通过基线模型的实验进行分析。