BERT fine-tuning for POS tagging task (google's tensorflow)

Our submission to OffensEval 2020 to classify offensive language in social media tweets, where we ranked #15.

Fine-tuning a BERT model for Sentiment Classification on the SMILE: Twitter Emotion Dataset

Sentiment analysis using BERT on Google Play reviews

Text Information System - Course Project

Contains the code for this competition, https://www.kaggle.com/c/nlp-getting-started/, hosted on Kaggle

Subtask1 and Subtask2 solution of SemEval 2020 Task6 https://competitions.codalab.org/competitions/22759

A set of Python scripts that creates a dataset of bill texts and subjects, then fine-tunes BERT on the dataset.

A solution to the nlp-challenge kaggle competition for sentiment analysis using a fine-tuned BERT model.

This is the second project to be completed in Upskill ISA Intelligent Machines. The project was done after the end of the competition. The ensemble of BERT, GPT2, XLNet was used in this model that obtained 0.94656 private scores on Kaggle.

A repo to Fine Tune BERT and use it for text classification.

An Empirical Evaluation of Word Embedding Models for Subjectivity Analysis Tasks

Pre-training and fine tuning BERT models

Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization (ACL 2021)

Spam recognition/ Toy example of using BERT

An advanced NLP project that checks for abuse in content. A strong contrast is drawn between baseline approaches and deep learning frameworks like BERT, LSTM.

Code for the FullStack AI Live Coding Series- Part 1 (CellStrat AI Lab)

DACON 기후기술분류 경진대회 at @KNU-BrainAI (2021)

bert文本多分类(情感分析)、bert-bilstm-crf序列标注任务(快递地址的序列标注任务)