How Target Sense Verification improves domain-specific and enterprise disambiguation settings — Dealing with ambiguous words has a long tradition in Natural Language Processing (NLP). However, in this fast-moving field, the original task formulations that solve this problem do not meet the requirements of modern domain-specific and enterprise settings. In this post, we will take a deeper look at the shortcomings of…

The term word embedding has been floating around for years now, so most of you have most likely already had some contact point with it. This post of the series ML ED (Machine Learning, Easily Digestible) will focus on explaining the main principles behind this exciting methodology, like what is…

When it comes to sharing knowledge with non-experts or out-of-domain people, researchers often fail to find a common language, which would be the basis for fruitful discussions and transfer of expertise. It indeed is a difficult balancing act, trying to abstract complex concepts, without losing scientific accuracy. …