Final Project of Applied Deep Learning (ADL Lectured by Yun-Nung Chen at NTU)
Weak Supervised Fake News Detection with RoBERTa, XLNet, ALBERT, XGBoost and Logistic Regression classifiers.
Multi Label Text Classification of ICD-10-CM codes on the clinical record corpus for eHealth Lab CLEF - 2020
Fine-tuning BERT model on a limited dataset featuring customer feedback for British Airways.
Welcome to our RoBERTa Sentiment Analysis project! In this repository, we explore the world of Natural Language Processing (NLP) by fine-tuning a RoBERTa Transformer for sentiment analysis.
A comparative study for fake news detection using deep learning techniques.
Time perception analysis for borderline personality disorder patients
This repository contains the annotated dataset, the unigrams, bigrams and trigrams referenced in the paper "COVID-19 Vaccine Hesitancy in the Month Following the Start of the Vaccination Process" published in the International Journal of Environmental Research and Public Health.
This repository contains all the programming assignments for the Applied Natural Language Processing class at the University of Southern California in the Spring 2022 semester.
Visual Question Answering Pipeline using Image Captioning and Wikipedia
An API for detecting hate speech related to Philippine elections and politics.
A PyTorch Library for Sequence Labeling Tasks such as Named-entity Recognition or Part-of-speech Tagging
The Role of Model Architecture and Scale in Predicting Molecular Properties: Insights from Fine-Tuning RoBERTa, BART, and LLaMA
This repository contains the code and outputs for the CS505: Natual Language Processing course project. The objective of this work is to explore the performance of different machine learning models in generating commit messages from changes in code.
An Observation of BERT in 2020 Sarcasm Detection Competition Twitter Dataset
тестовое задание на стажировку в проекте "Построение системы анализа комментариев" @ JetBrains Research
Rethinking Why Intermediate-Task Fine-Tuning Works (Findings of EMNLP21)
Dimensionality Reduction and clustering + interprability
KLUE-ynat(TC) with RobertaGCN
Add a description, image, and links to the roberta topic page so that developers can more easily learn about it.
To associate your repository with the roberta topic, visit your repo's landing page and select "manage topics."