Multilingual Name Entity Recognition and Intent Classification Employing Deep Learning Architectures

Rizou, Sofia, Paflioti, Antonia, Theofilatos, Angelos, Vakali, Athena, Sarigiannidis, George, Chatzisavvas, Konstantinos Ch.

arXiv.org Artificial Intelligence 

We are living in an era where messaging applications are strongly linked to all sorts of our daily activities, and in fact these applications have already overtaken social networks as can be indicated in the BI Intelligence Report [3]. The consumption of messaging platforms is further expected to grow significantly in the coming years; hence this is a huge opportunity for different businesses to gain insight on what people are actively engaged with. In this age of instant gratification, consumers expect companies to respond quickly or with minimum delay and this, of course, requires a lot of time and effort for the company to invest in their workforce. Thus, it's now the right time for any organization to think of new ways to stay connected with the end-user. Many organizations undergoing a digital transformation have already started harnessing the power of Artificial Intelligence (AI) in the form of AI-assisted customer support systems, talent screening using AI-assisted interviews, etc.

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