**文中提出的非常重要的观点就是 当前 sentence的context中存在的relation会有利于提取当前sentence的relation。 ** 在进行预测的时候使用了context representation 主要的核心思想就是使用了LSTM encoder main contribution就是一个全新的网络框架。 其实应该还有这个context representation的idea 以及 还有应该是open了自己做...
传统弊端: 大多数方法只学习每个特征的固定表示,而不考虑每个特征在不同环境下的不同重要性,从而导致性能低下。最近,一些方法试图学习特征表示的向量级权重,以解决固定表示的问题。然而,它们只产生线性转换来细化固定的特征表示,这仍然不够灵活,不能捕获不同上下文下每个特征的不同重要性。 SOAT的做法: Feature Refin...
In this paper, we propose a global context-aware model to leveraging discourse context to improve argument representation. Besides, we integrate a multi-view interaction representation between two arguments themselves to the global context-aware representation to boost implicit discourse recognition ...
self-attention用于 CTR 预测主要学习所有相关特征对之间的交叉特征关系,但其只捕获了同一实例中特征的相对重要性,而忽略了多个实例之间的特征重要性差异。考虑以下两个例子:{female, red, mouth, workday} 和 {female, red, mouth, weekend},其中self-attention只能学习特征“female”的非常相似的表示,因为特征“wee...
In this paper, we propose to encode history with context-aware representation learning to enhance the representation of current query, which is a direct way to clarify the user's information need. Specifically, endowed with the benefit from transformer on aggregating contextual information, we devise...
This repository contains the implementation of the paper CARTE: Pretraining and Transfer for Tabular Learning. CARTE is a pretrained model for tabular data by treating each table row as a star graph and training a graph transformer on top of this representation. Installation Required dependencies CAR...
Context and Ontology Representation and Reasoning context aware Context Aware Mobile System Context Aware Ubiquitous Learning Context Aware Vision Using Image-Based Active Recognition Context Awareness and Trust Context Awareness for Proactive Systems Context Based Access Control Context Based Admission Control ...
2.2.2 Context-aware Region Representation 引入AGSA模块捕获上下文信息 最终得到context-enhanced region feature matrix. 2.2.3 Multi-view Summarization 2.3 Text Embedding 利用BERT提取文本特征 全连接层增强特征表示 利用ASGA模块增强上下文信息特征表示 multi-layer perceptron (MLP) followed by a residual connection...
Multi-Scale Representation for 3D Face Recognition The eigenfaces algorithm has long been a mainstay in the field of face recognition due to the high dimensionality of face images. While providing minimal r... J Cook,V Chandran,S Sridharan - 《IEEE Transactions on Information Forensics & ...
Representation Aggregation for Context Learning 局部特征已经由LR-CNN学习。因此,与从原始图像进行上下文学习相比,从特征立方体学习空间上下文的任务相对来说会比较容易。三个context block的输出接着一个global average pooling, a fc, a softmax layer to make the final prediction in the required number of classe...