Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less

doi:doi:10.57702/ld7gxo41

Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less

Self-StrAE is a model that processes a given sentence to generate both multi-level embeddings and a structure over the input.

Data and Resources

Original MetadataJSON
The json representation of the dataset with its distributions based on DCAT.
Explore
- Preview
- Download

Cite this as

Mattia Opper, N. Siddharth (2024). Dataset: Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less. https://doi.org/10.57702/ld7gxo41

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.18653/v1/2024.semeval-1.18
Author	Mattia Opper
More Authors	N. Siddharth
Homepage	https://github.com/mopper97/