hppRC/defsent
DefSent: Sentence Embeddings using Definition Sentences
This tool helps researchers and linguists understand the meaning of sentences by converting them into numerical representations, called embeddings. You input plain text sentences, and it outputs a numerical vector for each sentence, or predicts associated words. It's designed for anyone working with natural language processing tasks who needs to quantify sentence meaning for comparison or analysis.
No commits in the last 6 months. Available on PyPI.
Use this if you need to transform sentences into comparable numerical data or predict key terms from descriptive phrases, especially for tasks related to semantic similarity or definition extraction.
Not ideal if your primary goal is basic keyword extraction or grammatical parsing, as it focuses on capturing the overall meaning of a sentence.
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Language
Python
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—
Category
Last pushed
Aug 05, 2021
Commits (30d)
0
Dependencies
2
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