What's new in Azure Cognitive Service for Language?
Azure Cognitive Service for Language is updated on an ongoing basis. To stay up-to-date with recent developments, this article provides you with information about new releases and features.
April 2022
- Fast Healthcare Interoperability Resources (FHIR) support is available in the Language REST API preview for Text Analytics for health.
March 2022
- Expanded language support for:
February 2022
Model improvements for latest model-version for text summarization
Model 2021-10-01 is Generally Available (GA) for Sentiment Analysis and Opinion Mining, featuring enhanced modeling for emojis and better accuracy across all supported languages.
Question Answering: Active learning v2 incorporates a better clustering logic providing improved accuracy of suggestions. It considers user actions when suggestions are accepted or rejected to avoid duplicate suggestions, and improve query suggestions.
December 2021
- The version 3.1-preview.x REST endpoints and 5.1.0-beta.x client library have been retired. Please upgrade to the General Available version of the API(v3.1). If you're using the client libraries, use package version 5.1.0 or higher. See the migration guide for details.
November 2021
Based on ongoing customer feedback, we have increased the character limit per document for Text Analytics for health from 5,120 to 30,720.
Azure Cognitive Service for Language release, with support for:
- Question Answering (now Generally Available)
- Sentiment Analysis and opinion mining
- Key Phrase Extraction
- Named Entity Recognition (NER), Personally Identifying Information (PII)
- Language Detection
- Text Analytics for health
- Text summarization preview
- Custom Named Entity Recognition (Custom NER) preview
- Custom Text Classification preview
- Conversational Language Understanding preview
Preview model version
2021-10-01-preview
for Sentiment Analysis and Opinion mining, which provides:- Improved prediction quality.
- Additional language support for the opinion mining feature.
- For more information, see the project z-code site.
- To use this model version, you must specify it in your API calls, using the model version parameter.
SDK support for sending requests to custom models:
Next steps
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