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This paper introduces a systematic and large-scale study of the Vietnamese question generation task. Different from prior work that only investigates the task with a small number (1-2) of datasets, the study reports the performance of question generation models on a wide range of Vietnamese machine reading comprehension corpora in different setting
This is a smart Quiz Generator that generates a dynamic quiz from any uploaded text/PDF document using NLP. This can be used for self-analysis, question paper generation, and evaluation, thus reducing human effort.
Q&Arabic is an NLP framework that generates Arabic FAQs from a given material. The project uses deep learning models (BERT and T5) and includes a detailed report and brief presentation covering the system analysis, related work, and future plans.
this is a repository for question and answer generation (QAG). here we train answer extraction (AE) and question generation (QG) models. models with soon be publicly available at pbe.achybl.com
An Answer-Aware Question Generation Application Using Wikipedia as the Knowledge Source. Using T5-small and Instruction Fine-Tuning to generate a wonderful answer-aware questions.
A Question Generation Application leveraging RAG and Weaviate vector store to be able to retrieve relative contexts and generate a more useful answer-aware questions