Cognitive Services Text Analytics' Named Entity Recognition is now available

Posted on Thursday, June 6, 2019

Cognitive Services Text Analytics' Named Entity Recognition is now available

We are happy to announce the general availability of Named Entity Recognition supporting English and Spanish languages as part of Azure Cognitive Services Text Analytics API. Named Entity Recognition (NER) is the ability to take free-form text and identify the occurrences of entities such as people, locations, organizations, and more. With a simple API call, NER in Text Analytics uses robust machine learning models to find and categorize more than twenty types of named entities in any text document. 

We have also released 19 new language models for public preview increasing our NER human language coverage to 21.  In addition to English and Spanish, we have enabled the full set of supported types for 3 more languages in public preview; French, German and Chinese-Simplified.  

The following types and their corresponding languages are now supported. 

TYPE 

SUBTYPE 

EXAMPLE 

Languages Supported 

Person 

N/A* 

"Jeff", "Paul G. Allen" 

Location 

N/A* 

"Redmond, Washington", "Paris" 

Organization 

N/A* 

"Microsoft" 

Quantity 

Number 

"6", "six" 

English, Spanish, German, French, Chinese (Simplified) 

Quantity 

Percentage 

"50%", "fifty percent" 

English, Spanish, German, French, Chinese (Simplified) 

Quantity 

Ordinal 

"2nd", "second" 

English, Spanish, German, French, Chinese (Simplified) 

Quantity 

NumberRange 

"4 to 8" 

English, Spanish, German, French, Chinese (Simplified) 

Quantity 

Age 

"90 days old", "thirty years old" 

English, Spanish, German, French, Chinese (Simplified) 

Quantity 

Currency 

"$10.99" 

English, Spanish, German, French, Chinese (Simplified) 

Quantity 

Dimension 

"10 miles", "40 cm" 

English, Spanish, German, French, Chinese (Simplified) 

Quantity 

Temperature 

"32 degrees" 

English, Spanish, German, French, Chinese (Simplified) 

DateTime 

N/A* 

"6:30PM February 4, 2012" 

English, Spanish, German, French, Chinese (Simplified) 

DateTime 

Date 

"May 2nd, 2017", "05/02/2017" 

English, Spanish, German, French, Chinese (Simplified) 

DateTime 

Time 

"8AM", "8:00" 

English, Spanish, German, French, Chinese (Simplified) 

DateTime 

DateRange 

"May 2nd to May 5th" 

English, Spanish, German, French, Chinese (Simplified) 

DateTime 

TimeRange 

"6pm to 7pm" 

English, Spanish, German, French, Chinese (Simplified) 

DateTime 

Duration 

"1 minute and 45 seconds" 

English, Spanish, German, French, Chinese (Simplified) 

DateTime 

Set 

"every Tuesday" 

English, Spanish, German, French, Chinese (Simplified) 

DateTime 

TimeZone 

“UTC-7”, “CST” 

English, Spanish, German, French, Chinese (Simplified) 

URL 

N/A* 

"http://www.bing.com" 

English, Spanish, German, French, Chinese (Simplified) 

Email 

N/A* 

"support@microsoft.com" 

English, Spanish, German, French, Chinese (Simplified) 

*Depending on the input and extracted entities, certain entities may omit the sub-type.