Papers › ICDM 2019 Knowledge Graph Contest: Team UWA

ICDM 2019 Knowledge Graph Contest: Team UWA

4 Sep 2019arXiv:1909.01807archive 2025-07-28

Michael Stewart, Majigsuren Enkhsaikhan, Wei Liu

We present an overview of our triple extraction system for the ICDM 2019 Knowledge Graph Contest. Our system uses a pipeline-based approach to extract a set of triples from a given document. It offers a simple and effective solution to the challenge of knowledge graph construction from domain-specific text. It also provides the facility to visualise useful information about each triple such as the degree, betweenness, structured relation type(s), and named entity types.

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majiga/Text2Event mentioned on GitHub report

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