Information Synchronization of semi-structured data across languages is
challenging. For instance, Wikipedia tables in one language should be
synchronized across languages. To address this problem, we introduce a new
dataset InfoSyncC and a two-step method for tabular synchronization. InfoSync
contains 100K entity-centric tables (Wikipedia Infoboxes) across 14 languages,
of which a subset (3.5K pairs) are manually annotated. The proposed method
includes 1) Information Alignment to map rows and 2) Information Update for
updating missing/outdated information for aligned tables across multilingual
tables. When evaluated on InfoSync, information alignment achieves an F1 score
of 87.91 (en <-> non-en). To evaluate information updation, we perform
human-assisted Wikipedia edits on Infoboxes for 603 table pairs. Our approach
obtains an acceptance rate of 77.28% on Wikipedia, showing the effectiveness of
the proposed method.

信息同步的挑战在于跨语言的半结构化数据同步，我们提出了一个新的数据集 InfoSyncC 和一个两步骤的表格同步方法来解决这个问题。该方法包括信息对齐以映射行和信息更新以更新多语言表格中对齐表格的缺失 / 过时信息。在 InfoSync 上的评估结果显示，信息对齐达到了 87.91 的 F1 分数（en<->non-en）。通过人工协助的维基百科编辑，信息更新方法在维基百科上达到了 77.28% 的有效性。