extractive-question-answering

A robust, all-in-one GPT interface for Discord. ChatGPT-style conversations, image generation, AI-moderation, custom indexes/knowledgebase, youtube summarizer, and more!

AI Chatbot for analyzing/extracting information from data in conversational format.

Machine Reading Comprehension special for the Vietnamese language

#自然语言处理#Explore an emerging NLP capability with WikiQA, an automated question answering system built on top of Wikipedia.

Scripts for finetuning models for Question Answering task in Ukrainian

#搜索#Extractive Question-Answering with BERT on SQuAD v2.0 (Stanford Question Answering Dataset) using NVIDIA PyTorch Lightning

A robust, all-in-one GPT3 interface for Discord. Chat just like ChatGPT right inside Discord! Generate beautiful AI art using DALL-E 2! Automatically moderate your server using AI!

#自然语言处理#Your Data as Knowledge Base + AI. ChatBot

#自然语言处理#Extractive Question Answering System

#自然语言处理#Extractive Nepali Question Answering System | Browser Extension & Web Application

LayoutLMv3 applied to a VQA problem with infographics.

KorSQuAD-pl provides transfer learning codes about korean dataset KorQuAD and english dataset SQuAD for extractive question answering. KorSQuAD-pl implemented through pytorch lightning.

The official repository for the PSYCHIC model

#自然语言处理# DocBuddy is a Flask web app that lets users upload and interact with PDF files by summarizing content, suggesting keywords, and providing a basic Q&A feature, all through an intuitive interface.

#自然语言处理#Official source codes for implementing "Accelerating materials language processing with large language models"

Qur'an QA 2023 Shared Task! Answering Questions on the Holy Qur'an @ ArabicNLP 2023, co-located with EMNLP 2023

This project implements an Extractive Question Answering (EQA) system that extracts answers from a set of downloaded text files based on user queries.

neural information retrieval and ranking & extractive question answering

#自然语言处理#Generate a response for the question from pre-defined text using LLM(Extracted Question-Answering(QA) Model).

#自然语言处理#This project implements an Extractive Question Answering (QA) system using Hugging Face Transformers.