Deep Graph Convolutional Encoders for Structured Data to Text Generation Diego Marcheggiani1;2 Laura Perez-Beltrachini1 1ILCC, University of Edinburgh 2ILLC, University of Amsterdam
[email protected] [email protected] 1 / 20 Structured Data-to-Text Generation agree Above the Veil country precededBy AM-TMP P A1 Australians month A0 . purchase followedBy Aenir Into Battle precededBy AINV A0 A1 followedBy last giant carrier Castle AINV The Violet Keystone the Above the Veil is an Australian novel and the Giant agreed last month to purchase sequel to Aenir and Castle . It was followed the carrier . by Into the Battle and The Violet Keystone . WebNLG [Gardent et al., 2017] SR11Deep [Belz et al., 2011] 2 / 20 Sequential Encoder-Decoder Models Above the Veil country precededBy Australians Above the Veil is an Australian novel and the followedBy Aenir Into Battle precededBy sequel to Aenir and Castle . It was followed followedBy by Into the Battle and The Violet Keystone . Castle The Violet Keystone 3 / 20 Graph Convolutional Network (GCN) encoder X Input encoding guided by the graph structure X Explicit encoding long-distance dependencies given by the graph X Requiere less amounts of data to learn them Directly Encoding Input Structure ? Sequential encoders, require a separate input linearisation step After training they will learn a “structure” representation However, input explicit structure is NOT directly exploited 4 / 20 X Input encoding guided by the graph structure X Explicit encoding long-distance dependencies given by the graph X