Cross-Lingual Semantic Textual Similarity

3 papers with code • 0 benchmarks • 1 datasets

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Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders

cambridgeltl/mirror-bert EMNLP 2021

In this work, we demonstrate that it is possible to turn MLMs into effective universal lexical and sentence encoders even without any additional data and without any supervision.

73
16 Apr 2021

A Resource-Light Method for Cross-Lingual Semantic Textual Similarity

gg42554/cl-sts 19 Jan 2018

In contrast, we propose an unsupervised and a very resource-light approach for measuring semantic similarity between texts in different languages.

0
19 Jan 2018