agadetsky/pytorch-definitions
[ACL 2018] Conditional Generators of Words Definitions
This project helps natural language processing (NLP) researchers and computational linguists explore how computers can generate dictionary-style definitions for words, especially ambiguous ones. It takes a target word and a relevant context as input, and outputs a nuanced definition. Researchers can use this to improve how machines understand and represent word meanings.
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Use this if you are an NLP researcher studying word semantics, polysemy, or evaluating word embedding models by generating contextual definitions.
Not ideal if you need a simple, off-the-shelf tool for generating definitions for everyday use or for non-research applications.
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Python
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Last pushed
Jul 18, 2018
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