Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic Consistency

by   Jin Liu, et al.

The knowledge graph (KG) stores a large amount of structural knowledge, while it is not easy for direct human understanding. Knowledge graph-to-text (KG-to-text) generation aims to generate easy-to-understand sentences from the KG, and at the same time, maintains semantic consistency between generated sentences and the KG. Existing KG-to-text generation methods phrase this task as a sequence-to-sequence generation task with linearized KG as input and consider the consistency issue of the generated texts and KG through a simple selection between decoded sentence word and KG node word at each time step. However, the linearized KG order is commonly obtained through a heuristic search without data-driven optimization. In this paper, we optimize the knowledge description order prediction under the order supervision extracted from the caption and further enhance the consistency of the generated sentences and KG through syntactic and semantic regularization. We incorporate the Part-of-Speech (POS) syntactic tags to constrain the positions to copy words from the KG and employ a semantic context scoring function to evaluate the semantic fitness for each word in its local context when decoding each word in the generated sentence. Extensive experiments are conducted on two datasets, WebNLG and DART, and achieve state-of-the-art performances.


page 1

page 2

page 3

page 4


Graph-Stega: Semantic Controllable Steganographic Text Generation Guided by Knowledge Graph

Most of the existing text generative steganographic methods are based on...

Learning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels

Static knowledge graph has been incorporated extensively into sequence-t...

Explicit Syntactic Guidance for Neural Text Generation

Most existing text generation models follow the sequence-to-sequence par...

Co-Driven Recognition of Semantic Consistency via the Fusion of Transformer and HowNet Sememes Knowledge

Semantic consistency recognition aims to detect and judge whether the se...

A Theme-Rewriting Approach for Generating Algebra Word Problems

Texts present coherent stories that have a particular theme or overall s...

Syntactic Complexity Identification, Measurement, and Reduction Through Controlled Syntactic Simplification

Text simplification is one of the domains in Natural Language Processing...

The role of grammar in transition-probabilities of subsequent words in English text

Sentence formation is a highly structured, history-dependent, and sample...

Please sign up or login with your details

Forgot password? Click here to reset