dasguptar/treelstm.pytorch
Tree LSTM implementation in PyTorch
This project helps researchers and natural language processing practitioners evaluate how well different sentences capture similar meanings. It takes pairs of sentences and word embeddings as input and outputs a score indicating their semantic similarity. This is useful for anyone working on understanding language nuances, like computational linguists or AI trainers.
551 stars. No commits in the last 6 months.
Use this if you need to measure the semantic similarity between sentences for research or to benchmark new natural language processing models.
Not ideal if you are looking for a ready-to-use application for general text analysis or if you don't have experience setting up and running machine learning models.
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551
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Language
Python
License
MIT
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Last pushed
Sep 30, 2019
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