mlsanityData to 14 Oct 2026

mOKB6: A Multilingual Open Knowledge Base Completion Benchmark

arXiv 2211.06959 ↗First posted 13 Nov 2022cs.CLcited by 7

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Abstract (arXiv)

Automated completion of open knowledge bases (Open KBs), which are constructed from triples of the form (subject phrase, relation phrase, object phrase), obtained via open information extraction (Open IE) system, are useful for discovering novel facts that may not be directly present in the text. However, research in Open KB completion (Open 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, containing 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 models for the task and observe a consistent benefit of combining languages with the help of shared embedding space as well as translations of facts. We also observe that current multilingual models struggle to remember facts seen in languages of different scripts.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 25 of its 44 references that are in the map. First posted on arXiv 13 Nov 2022.

Builds on

25 of 44 references.

References · 25

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13 more
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 1; 2025: 2; 2026: 2.

7 papers.