2030NLP/SpaCE2021
中文空间语义理解评测
This project offers a benchmark dataset and evaluation framework for assessing a machine's ability to understand spatial relationships in Chinese text. It helps researchers and engineers evaluate how well AI models can identify correct versus incorrect spatial descriptions, and even explain why a description is problematic. The end-user persona is an NLP researcher or engineer focusing on Chinese language understanding.
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Use this if you are developing or evaluating natural language processing models that need to accurately interpret and reason about spatial information within Chinese text.
Not ideal if your focus is on understanding non-spatial semantic relationships or if you are working with languages other than Chinese.
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39
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Language
Python
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Last pushed
Aug 10, 2022
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