QA-for-Russian
Russian Q&A System
A deep learning project that aims to develop a question answering system for the Russian language using pre-trained models and annotated data.
Deep Learning project: Question-Answering System for Russian
2 stars
3 watching
0 forks
Language: Jupyter Notebook
last commit: over 6 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 liaoziyang/stackneveroverflow | A simple Q&A platform with user authentication and markdown support | 166 |
 allenai/document-qa | Tools and codebase for training neural question answering models on multiple paragraphs of text data | 435 |
 jaredkirby/smartpilot | An AI-powered question answering program that uses language models to generate and select the best response. | 45 |
 danilovaz/ama | A platform where developers can ask and answer questions on various topics in a structured way | 1 |
 wklken/stackoverflow-py-top-qa | A collection of Python-related questions and answers from Stack Overflow, with some answers translated into Chinese. | 856 |
 makarandtapaswi/movieqa_cvpr2016 | This project explores question-answering in movies using various machine learning approaches. | 80 |
 ariya/ama | A platform where users can share their answers to user-generated questions | 29 |
 yerevann/r-net-in-keras | Recreating a complex neural network architecture from a research paper to improve question answering capabilities | 178 |
 nikitavoloboev/ama | An AMA forum where users can ask questions and receive answers to any topic they're interested in | 36 |
 patil-suraj/question_generation | Automated question generation using pre-trained transformers and simplified pipelines | 1,105 |
 hwchase17/notion-qa | A Python-based question answering system built on top of Notion's database and OpenAI's API for natural language processing. | 2,139 |
 manovotny/ama | An AMA platform where anyone can submit and answer questions without specific expertise or constraints. | 2 |
 una/ama | A platform for QÔ;A sessions where users can ask and answer questions on any topic, without worrying about answers being easily discoverable. | 17 |
 deepaknverma/ama | A platform where developers can ask and answer questions on any topic, with guidelines to ensure helpful and informative responses. | 1 |
 swappsco/django-qa | A Q&A application framework for building discussion forums into Django web projects. | 99 |