9 Questions
What is the main purpose of Name Entity Recognition (NER)?
Identifying specific entities in a text document
How does Masked Language Modelling help learners?
By mastering deep representations in downstream tasks
What does pragmatic analysis in NLP primarily focus on?
Outside world knowledge
In NLP, what does perplexity refer to?
The inability to tackle something complicated
What is the primary function of entity chunking in Name Entity Recognition?
Segmenting entities into predefined classes
How does Pragmatic Analysis contribute to understanding language?
By reinterpreting what is described with real-world knowledge
In the context of NLP, what role does Perplexity play in language models?
Measuring the difficulty of handling uncertain language data
What aspect of language does Pragmatic Analysis focus on?
Semantics and real-world knowledge
"Chunking" entities in NER involves:
Segmenting entities into classes
This quiz covers the concept of perplexity in NLP, which is a measure of uncertainty in predicting text, and explains the significance of high and low perplexity. It also explores the definition of n-gram in NLP as a sequence of n words commonly used in language modeling.
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