Decoding speech perception from non-invasive brain recordings

A Défossez, C Caucheteux, J Rapin, O Kabeli… - Nature Machine …, 2023 - nature.com
Decoding speech from brain activity is a long-awaited goal in both healthcare and
neuroscience. Invasive devices have recently led to major milestones in this regard: deep …

A brief overview of universal sentence representation methods: A linguistic view

R Li, X Zhao, MF Moens - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
How to transfer the semantic information in a sentence to a computable numerical
embedding form is a fundamental problem in natural language processing. An informative …

Massively multilingual sentence embeddings for zero-shot cross-lingual transfer and beyond

M Artetxe, H Schwenk - … of the association for computational linguistics, 2019 - direct.mit.edu
We introduce an architecture to learn joint multilingual sentence representations for 93
languages, belonging to more than 30 different families and written in 28 different scripts …

XNLI: Evaluating cross-lingual sentence representations

A Conneau, G Lample, R Rinott, A Williams… - ar** artificial learning systems that can understand and generate natural language
has been one of the long-standing goals of artificial intelligence. Recent decades have …

A corpus for multilingual document classification in eight languages

H Schwenk, X Li - arxiv preprint arxiv:1805.09821, 2018 - arxiv.org
Cross-lingual document classification aims at training a document classifier on resources in
one language and transferring it to a different language without any additional resources …