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 ...

2021年12月22日 · This survey aims to (a) give the latest synthesis of deep learning research on the NLG core tasks, as well as the architectures adopted in the field; (b) detail meticulously and comprehensively various NLG tasks and datasets, and draw attention to the challenges in NLG evaluation, focusing on different evaluation methods and their relationships ...

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 …

2025年3月20日 · The term Natural Language Generation (NLG), in its broadest definition, refers to the study of systems that verbalize some form of information through natural language. That information could be stored in a large database or knowledge graph (in data-to-text applications), but NLG researchers may also study summarisation (text-to-text) or image ...

We learn how to instantiate a pre-trained architecture, how to get predictions for arbitrary input, and how to fine-tune the pre-trained models for the A3DS data set. We use the “nlpconnect/vit-gpt2-image-captioning” pre-trained image captioner, which uses an instance of VIT for image encoding and GTP-2 for decoding via causal language modeling.

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

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 …