Natural Language Understanding Services – a comparison

At this years’ SIGdial conference, researchers from the Technical University of Munich, department of informatics published the following paper – Evaluating Natural Language Understanding Services for Conversational Question Answering Systems Currently, there is no established way to evaluate different NLU (Natural Language Understanding) services. One of the primary goals of the research team was to define a way to compare these….

New Date Entities in LUIS

New date time entities in LUIS Previously we announced new number recognition in LUIS, but this was just the beginning! There are many more features coming to LUIS and the Bot Framework, of which today we are excited to announce that LUIS now has new pre-built date time entities which not only provide more accurate date-time recognition, but also contextual recognition for date….

New Number Recognizers in LUIS

The LUIS Team has developed a new recognizer library that provides greater accuracy in identifying numerics, and also allows the developer to provide context to which those numerics refer to. Luis now incorporates a new library for number recognition in Microsoft.Recognizers.Text.Numbers, which implements a solution using Regular Expressions. Regular Expressions (Regex) are a well established and proven method used to identify….