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Open Knowledge Base Canonicalization with Multi-task Learning
March 25, 2024, 4:42 a.m. | Bingchen Liu, Huang Peng, Weixin Zeng, Xiang Zhao, Shijun Liu, Li Pan
cs.LG updates on arXiv.org arxiv.org
Abstract: The construction of large open knowledge bases (OKBs) is integral to many knowledge-driven applications on the world wide web such as web search. However, noun phrases and relational phrases in OKBs often suffer from redundancy and ambiguity, which calls for the investigation on OKB canonicalization. Current solutions address OKB canonicalization by devising advanced clustering algorithms and using knowledge graph embedding (KGE) to further facilitate the canonicalization process. Nevertheless, these works fail to fully exploit the …
abstract applications arxiv construction cs.ai cs.cl cs.lg current however integral investigation knowledge knowledge base multi-task learning redundancy relational search solutions type web web search world world wide web
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