svjack/tableQA-Chinese
Unsupervised tableQA and databaseQA on chinese finance question and tabular data
This project helps finance professionals or analysts get answers from Chinese financial tables and databases by simply asking questions in natural language. You input your Chinese financial questions and your tabular data (like company reports or market data), and it provides direct answers extracted from those tables. This is ideal for anyone working with Chinese financial data who needs quick insights without complex queries.
No commits in the last 6 months.
Use this if you need to quickly extract specific information or insights from large Chinese financial tables or databases using everyday language, rather than writing code or complex database queries.
Not ideal if your data is primarily non-financial, not in Chinese, or if you need to perform highly complex analytical operations beyond simple question-answering.
Stars
13
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Apr 20, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/svjack/tableQA-Chinese"
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...
seriousran/awesome-qa
😎 A curated list of the Question Answering (QA)