The model is makes quantitative and cross-linguistic predictions about child language. It may also be deployed as a predictive model of language change which, w

This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing

"Traditionally, knowledge representation and reasoning systems have incorporated natural language as interfaces to expert systems or knowledge bases that perfor

Build custom NLP models in record time by adapting pre-trained machine learning models to solve specialized problems. Summary In Transfer Learning for Natural L

In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural langu