[文献笔记]An Unsupervised Neural Attention Model for
2018年5月21日 · 本文介绍了一种无监督的神经方法abae，用于抽取文本中的方面信息。 该方法利用词嵌入和注意力机制，能有效捕捉词共现模式，克服短文本数据稀疏性问题。
[源码分析]短评语料Attention-based Aspect Extraction(ABAE)算法
2018年5月23日 · 文献 提出了一种Attention-based Aspect Extraction，ABAE算法，很好地弥补了LDA-based方法的缺点，取得了不错的效果。 作者Ruidan He给出了算法的开源实现，本文主要目的是分析 源码 并复现其结果。
ABAE算法笔记与pytorch实现《An Unsupervised Neural ... - CSDN …
2021年4月3日 · 最近在实现模型时需要用到ABAE算法提取语句的aspect，记录一下。 该算法在论文《 An Unsupervised Neural Attention Model for Aspect Extraction 》中被提出。 有一篇文章写了比较详细的中文翻译： 点击直达 。
Abae - Wikipedia
Abae (Ancient Greek: Ἄβαι, Abai) [1] [i] was an ancient town in the northeastern corner of ancient Phocis, in Greece, near the frontiers of the Opuntian Locrians, said to have been built by the Argive Abas, son of Lynceus and Hypermnestra, and grandson of Danaus.
ABAE: Auxiliary Balanced AutoEncoder for class-imbalanced semi ...
2024年6月1日 · In this study, we propose ABAE, an Auxiliary Balanced AutoEncoder branch for CISSL. By integrating ABAE into existing SSL models, it can jointly train a representative feature extractor and a balanced classifier. To further smooth the biased pseudo-labeling, we adopt a graph-based label propagation scheme.
ABAE算法笔记与pytorch实现《An Unsupervised Neural
2023年5月23日 · 最近在实现模型时需要用到ABAE算法提取语句的aspect，记录一下。 该算法在论文《 An Unsupervised Neural Attention Model for Aspect Extraction 》中被提出。 有一篇文章写了比较详细的中文翻译：点击直达。
GitHub - alexeyev/abae-pytorch: PyTorch implementation of 'An ...
PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017' - alexeyev/abae-pytorch
Bolivarian Agency for Space Activities - Wikipedia
The Bolivarian Agency for Space Activities (Agencia Bolivariana para Actividades Espaciales, ABAE) is an agency of the Ministry of Science of Venezuela, responsible for developing and carrying out policies of the National Executive Venezuela regarding the use of the outer space.
ABAE is effective in discovering meaningful and coherent aspects. It substantially outperforms baseline methods on multiple evaluation tasks. In addition, ABAE is intuitive and structurally sim-ple. It can also easily scale to a large amount of training data. Therefore, it is a promising alterna-tive to LDA-based methods proposed previously. 2 ...
ABAE: Utilize Attention to Boost Graph Auto-Encoder
2021年11月1日 · Then we develop inversed AttSCNs and propose a novel auto-encoder, i.e., Attention-Based Auto-Encoder(ABAE). This architecture utilizes attention mechanism to get insight of the data. We perform experiments on some challenging tasks …