Symbolic, Distributed, and Distributional Representations for Natural Language Processing in the Era of Deep Learning: A Survey
From a machine point of view, human text and human utterances from language and speech are open to multiple interpretations because words may have more than one meaning which is also called lexical ambiguity. Semantic Modelling has gone through several peaks and valleys in the last 50 years. With the recent advancements of real-time human […]
