Search Results for author:
Found 2 papers, 1 papers with code
ExaASC: A General Target-Based Stance Detection Corpus in Arabic Language
This work proposes a new method toward Target-based Stance detection by using the stance of replies toward a most important and arguing target in source tweet.
A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition
It means that the proposed method is more robust against noisy data and handle these data effectively.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
