princeton-nlp/metric-wsd
NAACL'2021: Non-Parametric Few-Shot Learning for Word Sense Disambiguation
This project helps clarify the meaning of words in context, especially for words with many possible meanings or rare usage. It takes text data and, for specific words, outputs their most accurate sense. This tool is for computational linguists, NLP researchers, or anyone building applications that need precise word understanding, like search engines or chatbots.
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Use this if you need to accurately determine the meaning of words in text, particularly when dealing with words that have many senses or are infrequently encountered.
Not ideal if you're looking for an out-of-the-box solution without any programming or fine-tuning, as it requires setting up a development environment and configuring training parameters.
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Language
Python
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MIT
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Last pushed
Jul 01, 2021
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