Graph Neural Network (GNN) has shown to be powerful in successfully tackling many tasks… However, there has been no attempt to exploit GNN to create taxonomies . Graph2Taxo uses a noisy graph constructed from automatically extracted noisy hyponym hypernym candidate pairs . The learned model is then used to generate taxonomy for a new unknown domain given a set of terms for that domain . We also propose a novel method of directed acyclic graph (DAG) generation for taxonomy construction . Experiments on benchmark datasets from science and environment domains show that our approach attains significant improvements correspondingly over the state of the art. Our approach attaches significant improvements over the current state-of-the-art in NLP applications, according to the authors . Back to Mail Online home . Back To the page you came from . Back┬áto the page

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Keywords : graph - domain - taxonomy - construction - noisy -

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