NOW AVAILABLE

Cognitive Services Text Analytics’ Named Entity Recognition is now available

Published date: 06 June, 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, organisations and more. With a simple API call, NER in Text Analytics uses robust machine learning models to find and categorise 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 three 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" 

Organisation 

N/A* 

“Microsoft” 

Quantity 

Number 

“6”, “six” 

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

Quantity 

Percentage 

“50%”, “fifty per cent” 

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* 

“18:30, 4 February 2012” 

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

DateTime 

Date 

“2 May 2017”, “02/05/2017” 

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

DateTime 

Time 

“08:00”, “08:00” 

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

DateTime 

DateRange 

“2 May to 5 May” 

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

DateTime 

TimeRange 

“18:00 to 19:00” 

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* 

“https://www.bing.com” 

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

Email Address 

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. 

 

 

 

  • Text Analytics
  • Azure Cognitive Services
  • Services