language processing
Divergences between Language Models and Human Brains
Do machines and humans process language in similar ways?
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Inducing brain-relevant bias in natural language processing models
Dan Schwartz, Mariya Toneva, Leila Wehbe
Neural Information Processing Systems http://nips.cc/
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Joint processing of linguistic properties in brains and language models
Language models have been shown to be very effective in predicting brain recordings of subjects experiencing complex language stimuli.
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Non-Monotonic Latent Alignmentsfor CTC-Based Non-Autoregressive Machine Translation
Follo14,36], we alignments, outputand Ta, (y) whichreturnsY including T 1 : Y 7! Yisthecollapsing aandthen alignmenta=( , A, A,)iscollapsedy =( withamonotonic alignment logp(y|x, ) = log X Model BLEUMETEOR Speed Base Transformer 27.54 54.38 1.0 Vanilla-NAT 19.32 45.79 15.5
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Multi-modalDependencyTreeforVideoCaptioning
Manyexisting methods generate captions using sequence models that predict words in a left-to-right order.
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