most citedL3Cube-IndicSBERT: A simple approach for learning cross-lingual sentence representations using multilingual BERT

5 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2023★ 5 cited

L3Cube-IndicSBERT: A simple approach for learning cross-lingual sentence representations using multilingual BERT

Samruddhi Deode, Janhavi Gadre, Aditi Kajale +2

The multilingual Sentence-BERT (SBERT) models map different languages to common representation space and are useful for cross-language similarity and mining tasks. We propose a sim…

cs.CL2022★ 1 cited

L3Cube-MahaSBERT and HindSBERT: Sentence BERT Models and Benchmarking BERT Sentence Representations for Hindi and Marathi

Ananya Joshi, Aditi Kajale, Janhavi Gadre +2

Sentence representation from vanilla BERT models does not work well on sentence similarity tasks. Sentence-BERT models specifically trained on STS or NLI datasets are shown to prov…