Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models

We present a novel method for mapping unrestricted text to knowledge graph entities by framing the task as a sequence-to-sequence problem. Specifically, given the encoded state of an input text, our decoder directly predicts paths in the knowledge graph, starting from the root and ending at the targ...

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Bibliographische Detailangaben

Hauptverfasser:	Prokhorov, Victor, Pilehvar, Mohammad Taher, Collier, Nigel
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
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