Semantic Similarity and Web Intelligence

Nowadays, technology advancements such as deep learning are extremely productive in the study, creation, and production of applications for artificial intelligence. Many artificial intelligence sectors, such as the natural language processing and the information retrieval fields, have greatly benefited from these latest developments.

In particular, we are interested in the latest advances concerning semantic similarity, which is nothing more than the ability to automatically calculate the degree of semantic similarity between two short text expressions or sentences. Currently, there are many technologies and tools to deal with scenarios of this kind, wordnet, word2vec, google normalized distance, semantic similarity controllers, etc …

Our goal is to explain pleasantly the scientific fundamentals behind all these advances, so that also the general public can understand and enjoy this new wave of computer solutions that are going to take computer systems a step further in terms of user experience over the next few years.