Natural Language Understanding: Mapping Out the Landscape
Part of the Espresso Webinar Series
Enterprises are looking to better leverage unstructured text content for business insights, improved efficiencies through automation, and to create more powerful and engaging user experiences. However, such natural language understanding (NLU) systems can require decades of development by highly specialized computation linguistics experts and data scientists with results that fall short of expectations. Existing technologies are either dramatically too narrow, too generic, or too costly to develop and deploy.
In this webinar and demo, we discuss the NLU framework needed to allow non-data-scientists to create customized language models tuned to corporate applications that do not just process but also understand natural language queries and relevant business content to produce actionable answers.