Implementation and demo of explainable coding of clinical notes with Hierarchical Label-wise Attention Networks (HLAN)

The objective of this challenge is to create a machine translation system capable of converting text from French into Fongbe or Ewe.

The goal of this challenge is to build a machine translation model to translate sentences from Yorùbá language to English language in several domains like news articles, daily conversations, spoken dialog transcripts and books.

This repository contains code for a fine-tuning experiment of CamemBERT, a French version of the BERT language model, on a portion of the FQuAD (French Question Answering Dataset) for Question Answering tasks.

Very Simple Transformers provides a simplified interface for packaging, deploying, and serving Transformer models.

This repository contains the annotation framework, dataset and code used for the resource paper "TACO -- Twitter Arguments from COnversations".

Classify forum posts into one of the amazon e-commerce forum categories using Natural Language Processing (NLP) and Machine Learning.

Simpletransformer library is based on the Transformers BERT library by HuggingFace. The goal of Question Answering is to find the answer to a question given a question and an accompanying context. The predicted answer will be either a span of text from the context or an empty string (indicating the question cannot be answered from the context.)

Deep learning in smiles win / loss evaluation.

Weak Supervised Fake News Detection with RoBERTa, XLNet, ALBERT, XGBoost and Logistic Regression classifiers.

This library is based on simpletransformers and HuggingFace's Transformers library.

Simple Transformers Fork that supports T5TokenizerFast and umT5

Backend for MindPeers ML (NLP) models such as Sentiment Analysis & Keyword Extraction (including Feedback Loops)

🏷️ Classificação multi-label com BERT.

Backend for MindPeers ML (NLP) models such as Sentiment Analysis & Keyword Extraction (including Feedback Loops)