Wednesday, August 1, 2018

noHold, Inc. Launches NLP2X™, a New Way to Add a Conversational Interface to any Repository of Information

July 31, 2018, MILPITAS, CA – noHold is excited to introduce NLP2X, a new module of its AI platform, SICURA®. NLP2X converts end users natural language queries into database commands. This includes SQL databases, excel spreadsheets, or any other proprietary data repository with an API. NLP2X is often used with a Virtual Assistant that interfaces directly with the end user.

Here is an example of how NLP2X can work. Imagine shopping for a new computer online. There are so many options to choose from, and searching for specific features on a computer through a database can be cumbersome. Leveraging NLP2X, end users can ask a Virtual Assistant to only display computers that match specific criteria. For example, an end user can say, "Show me all laptops that are between $1000 and $1300, with 4 GB of memory or more and a 2.80 Ghz clock." In seconds, the Virtual Assistant will pull up only the laptops that match that criteria.

NLP2X is able to recognize Intents, Named Entities and Operators from end user queries. An Intent is the action the end user wants the Virtual Assistant to execute. Referencing the example above, the Intent would be “show me.”  A Named Entity is a value that is significant to the query, for example “4 GB of memory.” An Operator is the word/s typically associated with a Named Entity, such as “between” in the phrase “between $1000 and $1300."

Parsing end users queries is not trivial because end users can express themselves on their own terms. For example, you cannot expect end users to always specify the dollar sign “$” when referring to a price. Also, individuals may refer to “price” instead of “cost”, or even misspell terms. NLP2X has been trained to take care of all of this.

noHold's CEO and Founder, Diego Ventura, adds, “NLP2X is designed to help non-programmers query repositories of information without having to know reporting tools or special languages like SQL. Managers and Executives will be able to get to the information they are interested in without the help of specialized IT personnel.”

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