Papers Open Knowledge Graph Canonicalization
“Open Knowledge Graph Canonicalization” 태그가 달린 논문 3편 · 필터 해제
COMBO: A Complete Benchmark for Open KG Canonicalization
2023-02-08
· Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng 외
Open knowledge graph (KG) consists of (subject, relation, object) triples extracted from millions of raw text. The subject and object noun phrases and the relation in open KG have severe redundancy and ambiguity and need…
Open Knowledge Graph CanonicalizationRelationLearning Bayesian Sparse Networks with Full Experience Replay for Continual Learning
2022-02-21 · CVPR 2022 1
· Dong Gong, Qingsen Yan, Yuhang Liu, Anton Van Den Hengel 외
Continual Learning (CL) methods aim to enable machine learning models to learn new tasks without catastrophic forgetting of those that have been previously mastered. Existing CL approaches often keep a buffer of previous…
Continual LearningKnowledge DistillationOpen Knowledge Graph CanonicalizationCESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information
2019-02-01
· Shikhar Vashishth, Prince Jain, Partha Talukdar
Open Information Extraction (OpenIE) methods extract (noun phrase, relation phrase, noun phrase) triples from text, resulting in the construction of large Open Knowledge Bases (Open KBs). The noun phrases (NPs) and relat…
ClusteringFeature EngineeringNoun Phrase CanonicalizationOpen Information Extraction+2
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