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Data · dataset · 2022

NLPC-UOM/Tamil-Sinhala-short-sentence-similarity-deep-learning

Listed in Hugging Face Datasets

Description

This research focuses on finding the best possible deep learning-based techniques to measure the short sentence similarity for low-resourced languages, focusing on Tamil and Sinhala sort sentences by utilizing existing unsupervised techniques for English. Original repo available on github.com/nlpcuom/Tamil-Sinhala-short-sentence-similarity-deep-learning If you use this dataset, cite Nilaxan, S., & Ranathunga, S. (2021, July).

Monolingual sentence similarity measurement using siamese… See the full description on the dataset page: huggingface.co/datasets/NLPC-UOM/Tamil-Sinhala-short-sentence-similarity-deep-learning.

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Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsNLPC-UOM/Tamil-Sinhala-short-sentence-similarity-deep-learning15 d agoJSON v1
FieldAssertionExtractorEvidence
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created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
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publication_datesource · Hugging Faceconnector:huggingface@1.0.0
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