FAQ-based Question Answering System
基于知识图谱的电影知识问答系统。
Dataset Resplitting for Generalization in KGQA. See also https://github.com/semantic-systems/KGQA-datasets
RagE (RAG Engine) - A tool supporting the construction and training of components of the Retrieval-Augmented-Generation (RAG) model. It also facilitates the rapid development of Q&A systems and chatbots following the RAG model.
Q&A System using BERT and Faiss Vector Database
A modern and lightweight NLP interface for Question-Answering systems and more. Fork this project to showcase your Python models with elegant web applications in no time!
Knowledge-Based Question Answering --TF2 Version
We built a Question Answer System using BERT. Based on our benchmark dataset that we designed for a specific task, we evaluated it at 40% accuracy over a particular dataset.
In this academic project, I have compared the performance of different NLP approaches for Question-Answering system using varied levels (easy, medium, hard) of FAQs.
Project repository for the development of a Question-Answering (QA) information retrieval system fine-tuned on customer queries.
A QA system for answering questions about environmental issues. Built using Haystack and Wikipedia.
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