NLP problem that focuses on generating clarification questions for a given product description.Amazon QuAC and Amazon review datasets were used. Pretrained BART model from hugging face platform has been used.

This app allows users to auto-generate unlimited exam preparation questions, based off their own, or a community created question.

Code for the paper 'A Lightweight Method to Generate Unanswerable Questions in English' (Findings of EMNLP 2023)

The Culinary Query is an AI-Enhanced Menu Item Question Generator for training purpose's built using Django REST Framework and OpenAI's API

PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation from Small Corpora

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.

This repository contains recommendation system for dating apps based on personality evaluation by automatic question generation and sentiment + zero shot classification and user embeddings based on swipe history, made with FastAPI, validated by Pydantic Models

The data for our MRQA 2021 paper: "Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical Overlap"

Natural language Processing System, that takes a document as an input then applies NLP Techniques to generate a list of possible Questions and related possible distractors (choices). Implemented as a Web Application in Flask Python.

A fine tuned model for automatic Question Answer pair generation System using large language models and promptify

Torch code for Visual Question Generation

中文問句產生器；使用台達電閱讀理解資料集(DRCD)

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.

Tracking models for question generation.

Question-Answer Generation Control for English, using the T5 model and Pytorch lightning. Training, inference and evaluation scripts included.

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

Materials for bilingual QA-system with ruGPT-3 (English + Russian)

Finetuning a Transformer model for a seq2seq task and deploying it on the HuggingFace model hub (among other things).

Tool for Answer Extraction and Question Generation