I want to fine-tune an LLM on this Schema1 ontology. This training aims to take an example user text and the assistant translates it into an RDF graph based on the Schema1 ontology. Please create a comprehensive set of 50 example system, user, and assistant messages in JSONL message conv...
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However, due to the non-projectivity and reentrancy properties of AMR graphs, they lose some important semantic information in parsing from sentences. In this paper, we propose a general AMR parsing model which utilizes a two-stack-based transition algorithm for both Chinese and English datasets....
2. 三元组进行乱序,并对应同样的自然文本,目标是将他们恢复出来---捕捉三元组间关系 两个预训练任务,分别加强kg to text以及text to kg 做RE任务捕捉,从句子中提取三元组,捕捉graph to text 三元组的属性一般不足10个,作者为每种属性设计三元组模板,对三元组进行填空梳理成自然语言,作为输入。 将三元组恢复成...
Official code for our paper "An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction" which will be published at AAAI 2024. TO DO: Add train config file Remove dependency on AllenNLP Citation @misc{urchade2024autoregressive, title={An Autoregressive Text-to-Graph Framewor...
This example shows how to add text to a chart, control the text position and size, and create multiline text.
graph-to-text的一个重要任务是从 Abstract Meaning Representation (AMR) graph生成内容,其中图的编码方法主要有graph convolution encoder,graph attention encoder,graph LSTM,本文的模型是graph attention encoder的一个延伸。 数据集 作者构建了一个Abstract GENeration Dataset(AGENDA),该数据包含40k个AI会议的论文标题...
Text-to-Graph Generation:Converts user input text into a knowledge graph. Dynamic UI Updates:Graph updates with each text input that ends with a period. Color-Coded Visualization:Nodes and edges in the graph are color-coded for better visual distinction. ...
The current state-of-the-art on WikiOFGraph is T5-large. See a full comparison of 1 papers with code.
Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation. ACL 2020 文章的动机是从graph生成text是一个艰难的工作,因为seq2seq只适合处理序列数据的转换,而异构数据的结构化信息虽然可以被图神经网络提取,但是会导致encoder和decoder之间的“structural gap”越来越大,因此,本文提出了一...