p-lambda/swords
The Stanford Word Substitution (Swords) Benchmark
This project helps natural language processing researchers and developers evaluate how well their models can find substitute words for a target word within a given sentence. You provide a sentence with a target word, and the project outputs a list of possible substitute words along with their suitability scores. It's used by researchers to benchmark and compare different lexical substitution models.
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Use this if you are developing or evaluating natural language processing models that perform lexical substitution, and you need a standardized benchmark and evaluation pipeline.
Not ideal if you are looking for an off-the-shelf tool to suggest synonyms for writing or editing, as this is a research-focused benchmark.
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33
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Language
Python
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Last pushed
Mar 24, 2022
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