Pytorch-Named-Entity-Recognition-with-transformers
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Updated
Jun 1, 2020 - Python
Pytorch-Named-Entity-Recognition-with-transformers
This is a code template from the Jigsaw competition for multilingual toxic comments detection
Author's implementation of the paper https://www.aclweb.org/anthology/2021.dravidianlangtech-1.30/
Persian Ezafe Recognition Using Transformers and Its Role in Part-Of-Speech Tagging
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.
Automatic Term Extraction with NOBI Sequence Labeling approach
Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog
Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog
Intent and Entity Extraction and Classification from audio files
Multilingual hate speech detection for German, Italian and Spanish Social Media Posts #machine learning #classifier
THREATENING_TEXT_DETECTION_USING_CNN_LSTM_BILSTM_XLMROBERTA
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.
Handling Bahasa Rojak (Malaysian Code Mixing Language) OOV and performing Sentiment Analysis using downstreamed XLM-R
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