LIAAD/tieval
An Evaluation Framework for Temporal Information Extraction Systems
When developing or assessing systems that extract temporal information from text, such as dates, times, or durations, this tool helps you standardize and compare their performance. You input the text data and the system's extracted temporal expressions, and it outputs a detailed evaluation of accuracy and other metrics. This is for researchers and developers working on natural language processing (NLP) systems that understand time.
Available on PyPI.
Use this if you need to rigorously evaluate and benchmark different models or systems designed to identify and extract temporal expressions from large bodies of text.
Not ideal if you're an end-user simply trying to extract temporal information from a document; this is an evaluation framework, not a production tool for direct use.
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Language
Python
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Last pushed
Feb 19, 2026
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Dependencies
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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/LIAAD/tieval"
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