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The Visual AI Suite is a comprehensive toolkit designed to deliver cutting-edge AI functionalities for processing and analyzing visual data combined with natural language tasks. The suite integrates three powerful models: Image Description, Question Answering, and Visual Question Answering.
This project benchmarks various BERT-based models on the IMDB movie review dataset for sentiment classification, evaluating accuracy, precision, recall, and F1 score.
TunBERT is the first release of a pre-trained BERT model for the Tunisian dialect using a Tunisian Common-Crawl-based dataset. TunBERT was applied to three NLP downstream tasks: Sentiment Analysis (SA), Tunisian Dialect Identification (TDI) and Reading Comprehension Question-Answering (RCQA)
Code and models for the paper 'Exploring Multi-Modal Representations for Ambiguity Detection & Coreference Resolution in the SIMMC 2.0 Challenge' published at AAAI 2022 DSTC10 Workshop