AntoineSimoulin/pytree

Implementation of tree-structured neural networks in PyTorch.

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Experimental

This project provides an implementation of tree-structured neural networks. It takes in linguistic parse trees (either constituency or dependency trees in specific text formats) and outputs numerical representations (embeddings) of the words and phrases within those trees. This is useful for researchers and developers working on natural language understanding tasks where sentence structure is important.

No commits in the last 6 months.

Use this if you are a researcher or developer needing to represent the hierarchical structure of sentences for advanced natural language processing tasks, like sentiment analysis or textual entailment.

Not ideal if you are a business user looking for a ready-to-use application; this is a toolkit for developers to build such applications.

natural-language-processing computational-linguistics text-analytics semantic-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 0 / 25

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Language

Python

License

Apache-2.0

Last pushed

Nov 15, 2021

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