krishgoel/chronocept-baseline-models
The official baseline implementations for Chronocept
This project helps researchers and data scientists working with textual data to understand how the relevance of information changes over time. You input text, and the system outputs a prediction of its temporal validity as a continuous probability distribution. This is ideal for those analyzing trends, historical documents, or dynamic information landscapes.
Use this if you need to model the evolving relevance of textual information as a continuous probability over time.
Not ideal if you are looking for simple classification (e.g., 'relevant now' vs. 'not relevant now') rather than a probabilistic temporal curve.
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10
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 21, 2025
Commits (30d)
0
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