【PaperReading】Text Generation from Knowledge Graphs with Graph Transformers,程序员大本营,技术文章内容聚合第一站。
Many works utilize graph-based methods for graph-to-text generation, like knowledge-graph-to-text generation. However, generating texts from knowledge graph still faces problems, such as repetitions and the entity information is not fully utilized in the generated text. In this paper, we focus ...
Structure any text into a graph Analyze the relationships between concepts in your source textWe support API-based and local model providers via LiteLLM, including OpenAI, Ollama, Anthropic, Gemini, Deepseek, and others. We also use DSPy for structured output generation.Try...
TextGenerationfromKnowledgeGraphswithGraphTransformers RikKoncel-Kedziorski 1 ,DhanushBekal 1 ,YiLuan 1 ,MirellaLapata 2 ,andHannanehHajishirzi 1,3 1 UniversityofWashington {kedzior,dhanush,luanyi,hannaneh}@uw.edu 2 UniversityofEdinburgh mlap@inf.ed.ac.uk ...
Existing pre-trained models for knowledge-graph-to-text (KG-to-text) generation simply fine-tune text-to-text pre-trained models such as BART or T5 on KG-to-text datasets, which largely ignore the graph structure during encoding and lack elaborate pre-training tasks to explicitly model graph...
How to create a simple knowledge graph from a body of work? Clean the text corpus (The body of work). Extract concepts and entities from the body of work. Extract relations between the entities. Convert a graph schema. Populate nodes (concepts) and edges (relations). ...
Recent improvements in KG-to-text generation are due to additional auxiliary pre-training tasks designed to give the fine-tune task a boost in performance. These tasks require extensive computational resources while only suggesting marginal improvements. Here, we demonstrate that by fusing graph-aware...
这些“知识”可以通过不同的表示方法学习到有效的知识表示,用于增强文本生成任务的生成效果,这就被称为知识增强的文本生成(Knowledge-Enhanced Text Generation)。因此,知识增强的文本生成主要有两个难点:如何获取有用的知识(图1 Information Sources),以及如何理解并借助知识促进文本生成(图1 Methods)。接下来的内容将...
Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training 前人的Data-to-Text(将(主任务)知识图(KG)三元组转换为自然文本的任务)的工作集中于特定领域的基准数据集。然而,在本文中,我们用语言表达整个英语维基百科数据,并讨论与广泛、开放领域、大规模语言化的相关独特...
SAGE is an easy-to-use platform built to facilitate knowledge generation from multiomics and clinical data. It is based on a rich dataset from which a dedicated Knowledge Graph (KG) was built. Additionally, we trained an LLM to communicate with the KG, including a chatbot functionality to en...