This repository contains Jupyter notebooks detailing the experiments conducted in our research paper on Ukrainian news classification. We introduce a framework for simple classification dataset creation with minimal labeling effort, and further compare several pretrained models for the Ukrainian language.

このリポジトリは、xLSTMを用いた言語モデルを学習するコードを実装したものです。 論文「xLSTM: Extended Long Short-Term Memory」に基づいて実装しています。

NVIDIA Speech Artificial Intelligence. Speech AI Summit 2022.

CurupiraIA: A Brazilian Portuguese hate speech detection model using BERT fine-tuning, inspired by folklore guardianship principles to protect digital communities from toxic content.

A curated list of resources dedicated to Natural Language Processing.

This repository contains the implementation of the coherence assessment models discussed in the Morad Litime's paper "Improving Dialogue Management for DarijaGenie through Neural Coherence Modeling"

This project implements a Text Simplification system using a hybrid BERT–GPT-2 architecture. It leverages BERT for semantic understanding and GPT-2 for fluent generation, aiming to transform complex text into simpler, more readable versions while preserving meaning. The system is trained and evaluated on benchmark simplification datasets and design