作者通过实验表明,将IE抽取到知识用图来表示会比直接使用实体有更好的生成效果。 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...
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...
图到文本(graph-to-text)是(data-to-text)的一个子任务 方法: 对于T5 有监督预训练 添加一个图的输入前,添加一个文本,翻译图到文本; 首先是继续预训练T5和BART模型,采用language model adaptation (LMA) or supervised task adaptation (STA) training; 在有监督时,使用pair进行预训练 在LMA时,使用reference进...
In this direction, a semantic graph representation of an original text is extracted, and then the present framework formulates the problem as a graph-to-summary learning problem to predict a summary of an original text. To the best of our knowledge, this formulation of graph-to-summary ...
SQL-to-text generation with graph-to-sequence model for EMNLP 2018 by Kun Xu et al.
GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation 来自 arXiv.org 喜欢 0 阅读量: 170 作者:A Colas,M Alvandipour,DZ Wang 摘要: Recent improvements in KG-to-text generation are due to additional auxiliary pre-training tasks designed to give the fine-tune task...
Using graphics to text, represented by these words and things, is very similar in shape. In General, the pictographs were the first text. 翻译结果4复制译文编辑译文朗读译文返回顶部 Use graphics to use for the text, and with the text and the representative in the shape of things, it is ...
convert text file to graph using c++ Sep 30, 2017 at 1:44am ETH11674 (20) i have to read data from file and translate it to graph in c++ the textfile looks like this INPUT(G1)INPUT(G2)INPUT(G3) INPUT(G6)INPUT(G7)OUTPUT(G22) OUTPUT(G23)G10 = nand(G1, G3)G11 = ...
In recent years, as large language models have been widely applied to different tasks with good results, and considering that the fundamental difference between CQL and SQL is the representation of graph patterns. We propose in this paper PA-LLM, a Text-to-CQL method that utilizes large ...
United States Patent US11550997 Note: If you have problems viewing the PDF, please make sure you have the latest version ofAdobe Acrobat. Back to full text