KG-to-Text Generation
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Benchmarks
WebNLG 2.0 (Unconstrained)
WebNLG 2.0 (Constrained)
EventNarrative
AGENDA
PathQuestion
WebQuestions
WikiGraphs
WebNLG (All)
WebNLG (Seen)
WebNLG (Unseen)
ENT-DESC
Most implemented
Investigating Pretrained Language Models for Graph-to-Text Generation
Text Generation from Knowledge Graphs with Graph Transformers
Handling Rare Items in Data-to-Text Generation
Deep Graph Convolutional Encoders for Structured Data to Text Generation
FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation
Can Knowledge Graphs Simplify Text?
Papers
MGSA: Multi-Granularity Graph Structure Attention for Knowledge Graph-to-Text Generation
The Knowledge Graph-to-Text Generation task aims to convert structured knowledge graphs into coherent and human-readable natural language text. Recent efforts in this field have focused on enhancing pre-trained language …
KG-to-Text GenerationKnowledge GraphsText GenerationFactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation
Graph-to-text (G2T) generation takes a graph as input and aims to generate a fluent and faith- ful textual representation of the information in the graph. The task has many applications, such as dialogue generation and q…
Data-to-Text GenerationDialogue GenerationKG-to-Text GenerationQuestion Generation+2Can Knowledge Graphs Simplify Text?
Knowledge Graph (KG)-to-Text Generation has seen recent improvements in generating fluent and informative sentences which describe a given KG. As KGs are widespread across multiple domains and contain important entity-re…
DescriptiveKG-to-Text GenerationKnowledge GraphsText Generation+1Generating Faithful Text From a Knowledge Graph with Noisy Reference Text
Knowledge Graph (KG)-to-Text generation aims at generating fluent natural-language text that accurately represents the information of a given knowledge graph. While significant progress has been made in this task by expl…
Contrastive LearningDecoderHallucinationKG-to-Text Generation+1Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphs
In any system that uses structured knowledge graph (KG) data as its underlying knowledge representation, KG-to-text generation is a useful tool for turning parts of the graph data into text that can be understood by huma…
KG-to-Text GenerationKnowledge GraphsText GenerationKnowledge Graph for NLG in the context of conversational agents
The use of knowledge graphs (KGs) enhances the accuracy and comprehensiveness of the responses provided by a conversational agent. While generating answers during conversations consists in generating text from these KGs,…
KG-to-Text GenerationKnowledge GraphsText Generation