Natural Language Processing (NLP)
ICSE · Class 12 · Artificial Intelligence
Flashcards for Natural Language Processing (NLP) — ICSE Class 12 Artificial Intelligence. Quick Q&A cards covering key concepts, definitions, and formulas.
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What is Natural Language Processing (NLP)?
Answer
Natural Language Processing is a subfield of Artificial Intelligence that focuses on enabling computers to understand, interpret, and generate human language. It deals with language that can be comple…
Why is human language difficult for computers to process?
Answer
Human language is difficult because it is complex and ambiguous. The same word can have different meanings in different contexts, and the meaning of a sentence often depends on surrounding words and t…
What is Natural Language Understanding (NLU)?
Answer
Natural Language Understanding is a subset of NLP that focuses on enabling computers to understand the meaning and intent behind human language. It includes text analysis, semantic analysis, sentiment…
What is Natural Language Generation (NLG)?
Answer
Natural Language Generation is the part of NLP that focuses on generating human-like text from structured data. It is used in tasks such as text summarization, machine translation, chatbot responses, …
How is NLU different from NLG?
Answer
NLU focuses on understanding human language and its meaning, while NLG focuses on generating human-like text. NLU works on analysis and interpretation, whereas NLG works on creation and response gener…
What is Named Entity Recognition (NER)?
Answer
Named Entity Recognition is a process in NLP that automatically identifies and classifies named entities in text into predefined categories such as people, organizations, locations, and dates. It is a…
What is an entity in NER?
Answer
An entity is a thing that is consistently referred to in text, such as a person name, organization, location, time expression, quantity, percentage, or another predefined category.
What are the four steps of NER?
Answer
NER works through four steps: Text Preprocessing, Entity Identification, Entity Classification, and Contextual Analysis.
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