University of Cambridge

Natural language models can model a text corpus C by learning the probability distribution p over all natural language strings Y∈C, with Y={y_1,y_2,y_3...,y_t}. For...

The evolution of machine learning (ML) offers broader possibilities of use. However, wide applications also increase the risks of large attack surface on ML's...

This Article Is Based On The Research Article 'TRANS-ENCODER: UNSUPERVISED SENTENCE-PAIR MODELLING THROUGH SELF- AND MUTUAL-DISTILLATIONS'. All Credit For This Research Goes To The...

In recent years, developments in neural networks have led to the advance of data-to-text generation. However, their inability to control structure can be limiting...