Phrase-in-Context/eval
EACL 2023
This project offers a standardized way to test and compare methods for understanding phrases in context. It takes in different phrase analysis models and datasets, then outputs benchmark scores for tasks like determining how similar phrases are, finding relevant phrases, and clarifying the meaning of ambiguous phrases. This is useful for researchers and developers working on search engines, content recommendation, or natural language understanding applications.
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Use this if you are developing or evaluating models that need to accurately understand and process phrases based on their surrounding text.
Not ideal if you are looking for a ready-to-use search engine or a tool to directly apply to your business data without custom model development.
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Language
Python
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Last pushed
Aug 08, 2023
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Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/Phrase-in-Context/eval"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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