xlmroberta

Pytorch-Named-Entity-Recognition-with-transformers

Resources and tools for the Tutorial - "Hate speech detection, mitigation and beyond" presented at ICWSM 2021

PyTorch implementation of Sentiment Analysis of the long texts written in Serbian language (which is underused language) using pretrained Multilingual RoBERTa based model (XLM-R) on the small dataset.

This repository is a comprehensive project that leverages the XLM-Roberta model for intent detection. This repository is a valuable resource for developers looking to build and fine-tune intent detection models based on state-of-the-art techniques.

Persian Ezafe Recognition Using Transformers and Its Role in Part-Of-Speech Tagging

Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog

Author's implementation of the paper https://www.aclweb.org/anthology/2021.dravidianlangtech-1.30/

Intent and Entity Extraction and Classification from audio files

Automatic Term Extraction with NOBI Sequence Labeling approach

Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog

This is a code template from the Jigsaw competition for multilingual toxic comments detection

Sentiment analysis of multilingual Instagram posts using mBERT and XLM-RoBERTa with performance evaluation and visualizations.

Multilingual hate speech detection for German, Italian and Spanish Social Media Posts #machine learning #classifier

Handling Bahasa Rojak (Malaysian Code Mixing Language) OOV and performing Sentiment Analysis using downstreamed XLM-R

This repository contains annotated corpora developed under the Bhashini project for 4 Indian Languages for Named Entity Recognition Task, and the code for inference of the models fine-tuned on XLM-Roberta architecture.

Fine-tuning with multilingual transformer models on bilingual customer support tickets

THREATENING_TEXT_DETECTION_USING_CNN_LSTM_BILSTM_XLMROBERTA