Search Results for author:
Found 3 papers, 0 papers with code
Are BERTs Sensitive to Native Interference in L2 Production?
With the essays part from The International Corpus Network of Asian Learners of English (ICNALE) and the TOEFL11 corpus, we fine-tuned neural language models based on BERT to predict English learners’ native languages.
Like a bilingual baby: The advantage of visually grounding a bilingual language model
Unlike most neural language models, humans learn language in a rich, multi-sensory and, often, multi-lingual environment.
Gaussian Fusion: Accurate 3D Reconstruction via Geometry-Guided Displacement Interpolation
Reconstructing delicate geometric details with consumer RGB-D sensors is challenging due to sensor depth and poses uncertainties.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
