通常，我们认为NLP = NLU + NLG，NLU-Neural Language Understanding指的自然语言理解，NLG-Neural Language Generation指的自然语言生成。 两者是相辅相成的，只有做好NLU才能做好NLG，做好NLG就可以做很多有趣的落地。 NLG包括很多任务，典型的有： 本篇文章简单介绍一下Summaization和Dialogue基本情况，因为这两个任务最常见，也最实用。 像写诗啊，写故事啊，这些task纯属瞎折腾.... NLG任务大部分都是 seq2seq 的 ( Image captioning除外)，后 …

In Image Analysis, features and attributes of an image are detected and labelled, before mapping these outputs to linguistic structures. Recent research utilize s deep learning approaches through features from a pre-trained convolutional neural network such as AlexNet, VGG or Caffe, where caption generators use an activation layer from the pre ...

2024年9月29日 · In this survey, we systematically review the state of the art on NLG for visualizations and introduce a taxonomy of the problem. The NLG tasks fall within the domain of Natural Language Interfaces (NLI) for visualization, an area that has garnered significant attention from both the research community and industry.

2022年12月23日 · This article offers a comprehensive review of the research on Natural Language Generation (NLG) over the past two decades, especially in relation to data-to-text generation and text-to-text generation deep learning methods, as …

2020年1月3日 · Bleu 全称为 Bilingual Evaluation Understudy（双语评估研究） ，意为双语评估替换，是衡量一个有多个正确输出结果的模型的精确度的评估指标。 BLEU的设计思想与评判机器翻译好坏的思想是一致的：机器翻译结果越接近专业人工翻译的结果，则越好。 BLEU算法实际上在做的事：判断两个句子的相似程度。 我想知道一个句子翻译前后的表示是否意思一致，显然没法直接比较，那我就拿这个句子的标准人工翻译与我的机器翻译的结果作比较，如果它们是很相似 …

2018年5月24日 · Natural language generation from images, referred to as image or visual captioning also, is an emerging deep learning application that is in the intersection between computer vision and natural language processing. Image …

Given the rise of natural language generation (NLG), there is a growing interest in automatically creating natural language descriptions for visualizations, which can be used as chart captions, answering questions about charts, or telling data-driven stories. In this survey, we systematically review the state of the art on NLG for

Image Caption Generator - A Neural Network based generative model for captioning images using Tensorflow. lightnlg - A minimalistic codebase for finetuning and interacting with NLG models using PyTorch Lightning.

This paper offers a comprehensive review of the research on Natural Language Generation (NLG) over the past two decades, especially in relation to data-to-text generation and text-to-text generation deep learning methods, as well as new applications of NLG technology.

Generating a natural language description from an image or image captioning is an emerging interdisciplinary problem at the intersection of computer vision and NLP, and it forms the technical foundation of many important applications, such as