21han/nlp_qa_project
Natural Language Processing Question Answering Final Project
This helps you quickly find specific answers within a text document, acting like a highly intelligent search tool for a single document. You provide a text file and either specific questions or a query, and it returns the relevant answers. It's designed for anyone who needs to extract precise information from dense documents without manually reading through everything.
No commits in the last 6 months.
Use this if you need to rapidly pull direct answers to questions from a long article, report, or book stored as a text file.
Not ideal if you need to search across many documents, summarize information, or if your questions require deep inferential reasoning beyond direct text extraction.
Stars
61
Forks
27
Language
HTML
License
—
Category
Last pushed
Oct 11, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/21han/nlp_qa_project"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
PaddlePaddle/RocketQA
🚀 RocketQA, dense retrieval for information retrieval and question answering, including both...
shuaihuaiyi/QA
使用深度å¦ä¹ ç®—æ³•å®žçŽ°çš„ä¸æ–‡é—®ç”系统
allenai/deep_qa
A deep NLP library, based on Keras / tf, focused on question answering (but useful for other NLP too)
worldbank/iQual
iQual is a package that leverages natural language processing to scale up interpretative...
fhamborg/Giveme5W1H
Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did...