Data-to-Text Generation with Content Selection and Planningarxiv.org/abs/1809.00582 代码: ratishsp/data2text-plan-pygithub.com/ratishsp/data2text-plan-py 我们之前介绍过一篇数据到文本生成的文章,然后很久都没有说过这个事情了,今天难得在实验室没有闲鱼,就再写一篇。 Problem Formulation 先看看数...
ratishsp/data2text-entity-pygithub.com/ratishsp/data2text-entity-py 论文地址: Data-to-text Generation with Entity Modelingarxiv.org/abs/1906.03221 欢迎随时私信或评论探讨~我会尽量做到秒回的。 导语: 前面我们讲了一些基于VAE或者GAN的生成模型用以文本生成,今天想要讲一篇data to text的paper。pa...
Data-to-Text Generation (D2T NLG) can be described as Natural Language Generation from structured input. Unlike other NLG tasks such as, Machine Translation or Question Answering (also referred as Text-to-Text Generation or T2T NLG) where requirement is to generate textual output using some ...
Based on case studies drawn from KB-to-text generation, I show that syntax can be used to support supervised training with little training data; to ensure domain portability; and to improve statistical hypertagging.doi:10.1007/978-3-319-11397-5_1Claire Gardent...
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《Data-to-textGenerationwithEntityModeling》https://arxiv.org/abs/1906.03221 这篇文章主要是以entities为中心的网络结构用于data2text生成。创建entities的表示形式,并动态更新。在每个timestep上,使用层次结构的attention,以输入的数据和entitymemory为条件生成文本。 2. ...
Recent advances in data-to-text generation have led to the use of large-scale datasets and neural network models which are trained end-to-end, without explicitly modeling what to say and in what order. In this work, we present a neural network architecture which incorporates content selection ...
Fact-based Data-to-Text Generation The Data2Text project aims to develop automated high-fidelity data-to-text generation technologies to address the shortcomings of template-based and the neural network-based approaches. Opens in a new tab
Code for A Hierarchical Model for Data-to-Text Generation (Rebuffel, Soulier, Scoutheeten, Gallinari; ECIR 2020); most of this code is based on OpenNMT. UPDATE 11/03/2021: The original checkpoints used to produce results from the paper are officialy lost. However, I still have the actua...
1) sequence KGPT and 2) Graph KGPT. Both of the two models can be applied to a wide range of data-to-text generation tasks. We crawl 7 million distanly-supervised data-to-text data from Wikipedia to pre-train this generation and finetune it on the downstream tasks. The finetuned mo...