Neural natural language generation (NLG) models have recently shown remarkable progress in fluency and coherence. However, existing studies on neural NLG are primarily focused on surface-level realizations with limited emphasis on logical inference, an important aspect of human thinking and language....
Natural Language Generation (NLG) is one of the most critical yet challenging tasks in all Natural Language Processing applications. It is a process to automate text generation so that humans can understand its meaning. A handful of research articles published in the literature have described how ...
The three main types of NLP models include symbolic NLP, statistical NLP and neural NLP. Components of natural language processing In order to understand how NLP works, it's helpful to take a look at the components or subsets of NLP. These are closely related practices that power core NLP f...
最近有一个应用方向让我感到格外兴奋,那就是,多模态技术可以帮助视障人士浏览互联网和导航现实世界。 以下为几项杰出的多模态研究进展:·[CLIP] Learning Transferable Visual Models From Natural Language Supervision (OpenAI, 2021)·Flamingo: a Visual Language Model for Few-Shot Learning (DeepMind, 2022)·BLI...
AWS Athena -> AWS Athena\n- Generative AI -> 生成式 AI\n- large language models -&...
在努力增加模型上下文长度的同时,我们也在努力提高上下文的效率。有人称之为“提示工程prompt engineering”或“prompt construction”。例如,最近有一篇论文谈到了模型如何更好地理解索引开头和结尾,而不仅是中间的信息——Lost in the Middle: How Language Models Use Long Contexts (Liu et al., 2023)....
Pre-Trained Language Models and Their Applications Haifeng Wang, ... Yu Sun, in Engineering, 2023 3.1.2 Natural language generation NLG tasks, such as text summarization, question generation, and data-to-text generation, are very challenging in NLP. Due to the huge search space, it is diffic...
NLG models and methodologies NLG relies onmachine learning algorithmsand other approaches to create machine-generated text in response to user inputs. Some of the methodologies used include the following: Markov chain.TheMarkov modelis a mathematical method used in statistics and machine learning to ...
Learn more about NLG, a software process that utilizes NLP to produce natural written/spoken language from structured and unstructured data.
Natural Language Generation(NLG)就是指需要生成新的文字信息的任务, 前面学到的Machine Translation其实也是NLG一种. 生成text的过程也就是decoding的过程, 之前我们学习了greedy decoding和beam search decoding. 现在我们介绍几种新的Sampling-based decoding方式. ...