Final Project of Applied Deep Learning (ADL Lectured by Yun-Nung Chen at NTU)
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Updated
Jan 18, 2022 - Python
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.
Chinese Offensive Language Detection using onnx model
Time perception analysis for borderline personality disorder patients
A PyTorch Library for Sequence Labeling Tasks such as Named-entity Recognition or Part-of-speech Tagging
This action will review pull requests and label issues using ML/AI
Rethinking Why Intermediate-Task Fine-Tuning Works (Findings of EMNLP21)
KLUE-ynat(TC) with RobertaGCN
A package built on top of Hugging Face's transformers library that makes it easy to utilize state-of-the-art NLP models
RoBERTa에 LSTM 레이어를 추가하여 Multi label dataset 분류
Rigorous Thesis and Master Thesis. We have used SQuAD datasets and BERT and RoBERTa models designed for English question answering task. We have retrained them to obtain models solving question answering for the Czech language using cross-lingual transfer.
Khmer New Classification with XLM-RoBERTa
Data Augmentation for Improved Generalizability of Natural Language Processing Models
Persona-BIGFIVE combines AI and psychology to classify the Big Five personality traits from essays. It uses advanced language models to explore how AI and LLMs can enhance our understanding of human behavior and personality.
Language Detection Project
RoBERTaGCN을 활용한 심리상담 데이터 분류 및 챗봇 개발
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