Huawei HCIP - AI EI Developer V2.5 Exam H13-321_V2.5 Question # 15 Topic 2 Discussion
H13-321_V2.5 Exam Topic 2 Question 15 Discussion:
Question #: 15
Topic #: 2
The objective of -------- is to extract and classify named entities in a text into pre-defined classes such as names, organizations, locations, time expressions, monetary values, and percentages. (Enter the abbreviation.)
NER(Named Entity Recognition) is a core NLP task that involves locating and categorizing entities within text into predefined categories like persons, organizations, places, dates, monetary values, and percentages. NER is widely used in information extraction, question answering, and knowledge graph construction.
Exact Extract from HCIP-AI EI Developer V2.5:
"NER identifies and classifies named entities in text into categories such as person names, organizations, locations, time expressions, and numeric values."
[Reference:HCIP-AI EI Developer V2.5 Official Study Guide – Chapter: Sequence Labeling Tasks, ]
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