Capsule Network
A capsule network for traffic speed prediction in complex road networks
... neural network with capsules that replaces max pooling by dynamic ...the capsule network on a time series forecasting problem, to our best ...
7
Emoji Powered Capsule Network to Detect Type and Target of Offensive Posts in Social Media
... the Capsule Networks are very new to the field, they have not been used much in NLP ...with Capsule Networks. Also, it might be important to explore how the Capsule Networks performs in NLP do- ...
7
Multi-Labeled Relation Extraction with Attentive Capsule Network
... with capsule network which acts consid- erably better than current convolutional or recurrent net in identifying the highly overlapped relations within an individ- ual ...
8
YNU DYX at SemEval 2019 Task 5: A Stacked BiGRU Model Based on Capsule Network in Detection of Hate
... This task aims to predict whether the tweet for each ID is a hate speech about women or immi- grants. Our system implements a stacked Bidi- rectional Gated Recurrent Units (BiGRUs) (Cho et al., 2014) based on a ...
5
Analysis on Credit Card Fraud Detection using Capsule Network
... the network, highlights are extended in time measurement and can portray the utilization examples of authentic what's more, deceitful exchange ...the Capsule Network (CapsNet) without precedent for ...
5
Capsule Network with Interactive Attention for Aspect Level Sentiment Classification
... utilize capsule network to construct vector-based feature rep- resentation and cluster features by an EM rout- ing ...the capsule routing procedure to model the semantic re- lationship between aspect ...
10
Detecting Aggression and Toxicity using a Multi Dimension Capsule Network
... in Capsule network based deep learning architecture to classify toxic comments have proved that these networks work well as com- pared to other deep learning architectures (Srivas- tava et ...
6
Enhancing Context Modeling with a Query Guided Capsule Network for Document level Translation
... the capsule concep- tion to use vector for describing the pose of an ...the capsule net- work for various ...novel capsule network with dynamic rout- ing for linear time ...plored ...
11
Identifying Aggression and Toxicity in Comments using Capsule Network
... Recently Capsule Network (Sabour et al., 2017) has been used in text classification (Zhao et al., 2018).It makes use of the dynamic routing process to alleviate the disturbance of some noise capsules which ...
8
Transformer Based Capsule Network For Stock Movement Prediction
... Capsule network generates the capsules in the next layer us- ing “routing-by-agreement”. This process takes the place of pooling operation and usually discards the location informa- tion, which helps ...
8
Transfer Capsule Network for Aspect Level Sentiment Classification
... Aspect-level sentiment classification aims to determine the sentiment polarity of a sentence towards an aspect. Due to the high cost in an- notation, the lack of aspect-level labeled data becomes a major obstacle in this ...
10
Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection
... In this paper, we present the system we have used for the Implicit WASSA 2018 Implicit Emotion Shared Task. The task is to pre- dict the emotion of a tweet of which the ex- plicit mentions of emotion terms have been re- ...
6
MCapsNet: Capsule Network for Text with Multi Task Learning
... single-task network enhanced by capsules is already a strong ...our capsule networks are effective for text. Partic- ularly, our capsule network outperforms conven- tional CNNs like DCNN, ...
10
Investigating Capsule Network and Semantic Feature on Hyperplanes for Text Classification
... Memory network, the dimension of the hidden state is ...primary capsule contains 8 atoms which means that the dimension of the primary capsules is ...
10
A Capsule Network based Embedding Model for Knowledge Graph Completion and Search Personalization
... introduced capsule net- works (CapsNet) that employ capsules (i.e., each capsule is a group of neurons) to capture entities in images and then uses a routing process to specify connections from capsules in ...
10
American sign language posture understanding with deep neural networks
... a capsule-based deep neural network sign posture translator for an American Sign Language (ASL) fingerspelling (posture), has been ...neural network approaches, which mainly used fine-tuning and ...
8
Volume 4 | Issue 2 - 2014
... New drug delivery systems have been developed, which are controlled by a computer and a high frequency energy transmission system. The capsules consisted of a drug reservoir, a high frequency receiver, a gas generating ...
13
The Capsule Regulatory Network of Klebsiella pneumoniae Defined by density TraDISort
... extracellular capsule. However, the full details of how K. pneumoniae capsule biosynthesis is achieved or regulated are not ...influencing capsule production, density-TraDISort, which combines density ...
19
Radiological Studies Reveal Radial Differences in the Architecture of the Polysaccharide Capsule of Cryptococcus neoformans
... the capsule is presumably assembled ...the capsule, it is also possible that the density and composition of the capsule are continuous, such that changes occur as a function of radial ...
11
Effect of Irrigation Levels on Yield Performance of Black Cumin
... per capsule and seeds per plant in water stress conditions can be the result of water shortage during the seed filling stage that shortens the flowering ...
7