bert

KAREN: Unifying Hatespeech Detection and Benchmarking

🤗 ParsBERT Persian NER Tasks

Multi-Modal Hate Speech Detection using Deep Learning.

面向小团队的一站式 NLP 小模型平台:数据集版本管理 · 训练 · 评估 · 在线部署 · Badcase 闭环,内置大模型 Prompt 盲测评测(人工 + AI 双指标)。

Use ESG-BERT model to classify text of sustainability reports

Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is commonly used on social media. The metaphorical and creative nature of sarcasm presents a significant difficulty for sentiment analysis systems based on affective computing. The technique and results of our team, UTNLP, in the SemEval-2022 shared task 6 on sarcasm detection are presented in this paper.

Source code of CIKM2021 Paper 'Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need'

Ensemble PhoBERT with FastText Embedding to improve performance on Vietnamese Sentiment Analysis tasks.

Sentiment Analysis of Yelp Review Dataset using Hugging Face pre-trained BERT with fine-tuning

Fine-tuning BERT and Transformer models for NLP tasks, hands-on notebooks · HuggingFace · PyTorch

A simplified fine tune and deploy code based on bert for text matching.

预训练模型知识量度量竞赛 Baseline F1 0.35 BERTForMaskedLM

Comparing Selective Masking Methods for Depression Detection in Social Media

An automated solution for fact-checking using available claims and fake-news datasets to fine-tune state-of-the-art language models published recently for NLP tasks (BERT, RoBERTa, XLNet, ConvBERT...) in order to classify unseen claims.

Earth observations, especially satellite data, have produced a wealth of methods and results in meeting global challenges, often presented in unstructured texts such as papers or reports. Accurate extraction of satellite and instrument entities from these unstructured texts can help to link and reuse Earth observation resources.

End-to-end integration of HuggingFace's models for sequence labeling.

Q&A System using BERT and Faiss Vector Database

A multimodal SER project combining BERT and ECAPA-TDNN with cross-attention-based fusion on the IEMOCAP dataset.

notebooks to finetune `bert-small-amharic`, `bert-mini-amharic`, and `xlm-roberta-base` models using an Amharic text classification dataset and the transformers library

A repo for NLP model Bert.