Microsoft Certified: Azure AI Engineer AssociateImplement natural language processing solutionsMedium
A global news agency wants to automatically generate short, concise summaries of lengthy news articles to quickly inform their editors. The summaries must capture the main ideas of the article without adding new information or rephrasing extensively, essentially extracting the most important sentences. Which Azure AI Language feature is best suited for this task?
- ANamed Entity Recognition (NER)
- BKey Phrase Extraction
- CAbstractive Summarization
- DExtractive Summarization
Show answer & explanationAnswer & explanation
Correct answer: D. Extractive Summarization
The requirement for summaries that 'capture the main ideas' 'without adding new information or rephrasing extensively,' and 'essentially extracting the most important sentences' perfectly describes Extractive Summarization. Abstractive summarization would generate new sentences, which is explicitly not desired here.
Why the other options are wrong
- A. Named Entity Recognition extracts specific entities, not article summaries.
- B. Key Phrase Extraction identifies important concepts, but doesn't produce a coherent summary.
- C. Abstractive Summarization generates new sentences, which is not what 'extracting the most important sentences' implies.
Extractive Summarization
A text summarization technique that creates a summary by selecting and combining key sentences or phrases directly from the original document, without generating new text.
- Summary consists of exact sentences from the source.
- Preserves factual accuracy and original phrasing.
- Useful for maintaining context and avoiding hallucinations.
Memory trick: Extractive Summarization Extracts Exact Sentences.