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Found 11 papers, 1 papers with code
UACH-INAOE at SMM4H: a BERT based approach for classification of COVID-19 Twitter posts
Task 5 was oriented on solving a binary classification problem, trying to identify self-reporting tweets of potential cases of COVID-19.
Self-Contextualized Attention for Abusive Language Identification
The use of attention mechanisms in deep learning approaches has become popular in natural language processing due to its outstanding performance.
Jointly Learning Author and Annotated Character N-gram Embeddings: A Case Study in Literary Text
An author{'}s way of presenting a story through his/her writing style has a great impact on whether the story will be liked by readers or not.
A Genre-Aware Attention Model to Improve the Likability Prediction of Books
Likability prediction of books has many uses.
Early Text Classification Using Multi-Resolution Concept Representations
The intensive use of e-communications in everyday life has given rise to new threats and risks.
A Multi-task Approach to Predict Likability of Books
We investigate the value of feature engineering and neural network models for predicting successful writing.
Convolutional Neural Networks for Authorship Attribution of Short Texts
We present a model to perform authorship attribution of tweets using Convolutional Neural Networks (CNNs) over character n-grams.
