We propose a trasductive approach for few shot cross-lingual classification.

We propose AugVic, a data augmentation framework for sequence to sequence model (i.e. NMT) using Language Model.

We propose UXLA, a novel data augmentation framework for self-supervised learning in zero-resource transfer learning scenarios.

We propose a superior model and training method for zero resource transfer of Cross-lingual Named Entity Recognition.

We propose an efficient neural framework for sentence-level discourse analysis in accordance with Rhetorical Structure Theory (RST). …

This book chapter goes through various aspects of regression and maths behind them.