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KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractPre-trained language representation models (PLMs) cannot well capture factual knowledge from text. In contrast, knowledge embedding (KE) methods can effectively represent the relational facts in knowledge graphs (KGs) with informative …...

26894

Don’t Mess with Mister-in-Between: Improved Negative Search for Knowledge Graph Completion

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThe best methods for knowledge graph completion use a ‘dual-encoding’ framework, a form of neural model with a bottleneck that facilitates fast approximate search over a vast collection of candidates. …...

42955