Word Vectors and Beyond…🧐 In the prima parte of our introduction to word representations, we discussed the most basic type of representation: frequency probability. While this approach continues to be used in NLP projects requiring low semantic inference, more often than not, mission-critical projects may be dependent on word meaning. Natural language, as a complex…
Read MoreWord Representation in Natural Language Processing (Prima Parte)
From Probabilistic Models to Word Embeddings 🧐 In the world of Natural Language Processing (NLP), word representation models are key for understanding how models interpret language. So what is a representation model (RM)? Before answering this, we have to be aware of an important disclaimer: AI models run on math. The consequence of this prerequisite highlights…
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