Sep 30, 2019 · The paper proposes a novel KG-to-text generation model with slot-attention and link-attention. We evaluated our approach on the real-world ...
Abstract. Knowledge Graph (KG)-to-Text generation task aims to generate a text description for a structured knowledge which can be viewed as a series of.
Oct 9, 2019 · A novel KG-to-text generation model with hybrid of slot-att attention and link-attention is proposed that could achieve significantly higher ...
Knowledge Graph (KG)-to-Text generation aims to generate a description for a factual knowledge which can be viewed as a set of slot-value records. To encode ...
Missing: Link- | Show results with:Link-
Aug 12, 2023 · In this paper, we develop a KG-to-text generation model that can generate faithful natural-language text from a given graph, in the presence of noisy reference ...
Missing: Slot- Attention
In this paper, we present an evaluation of zero- shot KG-to-text natural language generation using. LLMs. We address the following questions: 1. How do LLMs ...
Oct 22, 2024 · This paper proposes a novel text-enhanced knowledge graph representation model, which can utilize textual information to enhance the knowledge ...
A few applications which are benefited from text generation include generat- ing and predicting character/word/sentence while typing an email or chatting, ...
May 12, 2023 · Pretraining tasks with linearized graph data will enable PLMs to transfer learning more seamlessly between graphs and texts. The experiments ...
People also ask
What are the text to text generation models?
What is knowledge to text generation?
Mar 21, 2020 · In this paper, the KG2TEXT model based on adapted pointer-generator networks is proposed. In it, a varied coverage loss function is devised to cover attribute- ...