Why Word Embeddings and Semantic Similarity are Mission-Critical

As humans, we can recognize and compare words, but machines have difficulty decoding their meaning. That’s why NLP tools need word embeddings, which represent the meaning of words as numeric vectors that can be added, subtracted, and compared mathematically. 

In this webinar, Babel Street Chief Scientist Kfir Bar explains the concepts around how word embeddings and semantic similarity and apply to real-life and mission-critical situations.


Why now is the best time for AI in finance

Expert advice on starting your AI in finance journey

AI in finance helps institutions combat threats, improve compliance

>> On-demand webinar:
Why now? 3 reasons why AI for risk reduction can’t wait

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