natural-language-processing-2

Cross-Lingual Semantic Textual Similarity

3260 papers • 126 benchmarks • 313 datasets

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Most implemented papers

A resource-light method for cross-lingual semantic textual similarity

Paolo Rosso, Goran Glavas, Marc Franco-Salvador, Simone Paolo Ponzetto•Thu Nov 30 2017

An unsupervised and a very resource-light approach for measuring semantic similarity between texts in different languages, applicable to virtually any pair of languages for which there exists a sufficiently large corpus, required to learn monolingual word embeddings.

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

A. Korhonen, Ivan Vulic, Nigel Collier, Fangyu Liu•Thu Apr 15 2021

This work demonstrates that it is possible to turn MLMs into effective lexical and sentence encoders even without any additional data, relying simply on self-supervision, and proposes an extremely simple, fast, and effective contrastive learning technique, termed Mirror-BERT.

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