Question Answering Systems
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Updated
Feb 9, 2022
Question Answering Systems
Report and presentation of the paper "TAPAS: Weakly Supervised Table Parsing via Pre-training"
Awesome Question Answering
Development of a question answering system for the university software Agnes.
Successfully leveraged a pretrained BERT Transformer model for developing a question answering system.
A Daliy Dialogue Context Generator trained with Bloom and GPT
A enhanced Open Dialogue Context Generator supported by General Language Model Pretraining with Autoregressive Blank Infilling
Question Answering dataset generator of Document Visual in English and Chinese
Machine Comprehension on Squad Dataset using Match-LSTM + Ans-Ptr Network
Comparative study of large language models in the field of open-book QA, with application to a real-life use case.
A Turkish question answering system made by fine-tuning BERTurk and XLM-Roberta models.
A Turkish question answering system made by fine-tuning BERTurk and XLM-Roberta models.
System uses Google Gemini which takes PDF and we have to ask question based on the context of that PDF. System will provide the answer of the question.
This repository contains a Streamlit-based Document Question Answering System implementing the Retrieve-and-Generate (RAG) architecture, utilizing Streamlit for the UI, LangChain for text processing, and Google Generative AI for embeddings.
Sistem Tanya Jawab menggunakan Metode N-Gram dan Vector Space Model
It is an innovative repository housing a sophisticated Large Language Model (LLM) project, showcasing the intersection of advanced natural language processing and cutting-edge artificial intelligence. This repository serves as a comprehensive platform for the development, experimentation, and application of state-of-the-art language models.
It is a Mental Health Chatbot named CogniCare. Whether you're feeling overwhelmed, anxious, or just need someone to talk to, our Mental Health Chatbot is here to support you every step of the way. Remember, it's okay to seek help, and you don't have to go through this alone.
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Factoid Question Answering System - An advanced Open-domain Question Answering (ODQA) project that automatically answers factoid questions in Arabic and English languages using NLP and machine learning techniques
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