AI RESEARCH
EMERGE: A Benchmark for Updating Knowledge Graphs with Emerging Textual Knowledge
arXiv CS.CL
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ArXi:2507.03617v2 Announce Type: replace Knowledge Graphs (KGs) are structured knowledge repositories containing entities and relations between them. In this paper, we study the problem of automatically updating KGs over time in response to evolving knowledge in unstructured textual sources. Addressing this problem requires identifying a wide range of update operations based on the state of an existing KG at a given time and the information extracted from text.