cocacola-lab/ChatIE
The online version is temporarily unavailable because we cannot afford the key. You can clone and run it locally. Note: we set defaul openai key. If keys exceed plan and are invalid, please tell us. The response speed depends on openai. ( sometimes, the official is too crowded and slow)
This tool helps you automatically extract structured information from raw sentences in English or Chinese. You provide a piece of text and, optionally, specify the types of entities, relationships, or events you're looking for. The tool then outputs a clear, organized list of extracted facts, such as (China, capital, Beijing) or identified entities like (LOC, Beijing). It's ideal for analysts, researchers, or anyone who needs to quickly pull key data points from large volumes of unstructured text.
829 stars. No commits in the last 6 months.
Use this if you need to rapidly convert unstructured text into structured data like entities, relationships, or events without the need for extensive manual data labeling.
Not ideal if you require real-time, high-speed information extraction for extremely large datasets, as its performance depends on external API response times.
Stars
829
Forks
67
Language
Python
License
—
Category
Last pushed
May 28, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/cocacola-lab/ChatIE"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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