Component Classification
7 papers with code • 1 benchmarks • 1 datasets
Classification of argumentative components inside a document
CDCP
Most implemented papers
VoltaVision: A Transfer Learning model for electronic component classification
In this paper, we analyze the effectiveness of transfer learning on classifying electronic components.
Argumentative Link Prediction using Residual Networks and Multi-Objective Learning
AGalassi/StructurePrediction18
•
•
WS 2018
We explore the use of residual networks for argumentation mining, with an emphasis on link prediction.
Multi-Task Attentive Residual Networks for Argument Mining
AGalassi/StructurePrediction18
•
•
We explore the use of residual networks and neural attention for multiple argument mining tasks.
Automatic code generation from sketches of mobile applications in end-user development using Deep Learning
A common need for mobile application development by end-users or in computing education is to transform a sketch of a user interface into wireframe code using App Inventor, a popular block-based programming environment.
Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis
adlnlp/doc_gcn
•
•
COLING 2022
Recognizing the layout of unstructured digital documents is crucial when parsing the documents into the structured, machine-readable format for downstream applications.
Ammunition Component Classification Using Deep Learning
The trained models are tested against unseen data in order to evaluate the performance of the applied method.
Principal Component Classification
We propose to directly compute classification estimates by learning features encoded with their class scores using PCA.
