NLP
Explore the World of Natural Language Processing
Test your knowledge on Natural Language Processing (NLP) with our engaging quiz featuring 27 diverse questions. From essential concepts to advanced terminology, this quiz caters to enthusiasts seeking to enhance their understanding of NLP.
Key Features:
- 27 Thought-Provoking Questions
- Multiple Choice Format
- Instant Feedback on Answers
- Sharpen Your NLP Skills
Every time I visit her, my gran ma cookies. Her --> Grandma
Named Entity Recognition
Coreference resolution
WSD
Discourse
The bank will not be accepting cash on Saturdays. " "The river overflowed the bank."
Named Entity Recognition
Morphology
WSD
Discourse
3rd of Dec. --> Third of December.
Normalization
Tokenization
Stemming and Lemalization
Pos
The process of reducing inflected
Stemming and Lemalization
Pos
Tokenization
Normalization
("the book on the table").("to book a flight"); book verb or noun?
Stemming and Lemalization
Pos
Tokenization
Normalization
Plump eye / plum pie
None of these
Morphology
Part of Speech
Phonetics and phonology
Creating systems that efficiently process texts and make their information accessible
NLP
CV
AI
IR
Split text into words and sentences
Pos
Stemming and Lemalization
Tokenization
Normalization
Cut character sequence into word tokens
Tokenization
Normalization
Stemming and Lemalization
Pos
A metric used to measure the importance of a term in a text document collection is called
Document Frequency
C) Inverse Term Frequency.
Term Frequency
Inverse Document Frequency
"Mark Zuckerberg is one of the founders of Facebook "Person-: Mark Zuckerberg. "Company": Facebook
Discourse
Semantic analysis
Morphology
Named Entity Recognition
An inverted index arranges data in a sorted order as per
the term
The frequency of each term
The frequency of each document
The documents
Finding resources (of unstructured nature) that are relevant to an information need from a large collection of resources?
AI
NLP
IR
CV
What is Morphological Segmentation?
None of these
Is an extension of propositional logic
Separate words into individual morphemes and identify the class of the morphemes
Does Discourse Analysis
Jack invited Mary to the ball. Ball??
Discourse
POS
Semantic
Synax
Recognizing and classifying the speech acts in a chunk of text
Discourse
Semantic analysis
Morphology
Named Entity Recognition
A delimited string of characters as it appears in the text
None of theses
Term
Token
Word
Eleminating from ("the-, "an", "so-, "what-)
Discourse
Semantic analysis
Morphology
Stopwords Removal
An instance of a word occurring in a document
None of theses
Term
Token
Word
A •normalized" word (case. morphology. spelling)
None of theses
Term
Word
Token
What is the main challenge of NLP?
Handling Tokenization
Handling POS-Tagging
Handling Ambiguity of Sentences
None of the above
Jaccard Similarity between "educative is the best platform out there." & "educative is a new platform."
0.444
0.333
0.777
None of the mentioned
England (Organization) won the 2019 world cup vs The 2019 world cup happened in England(Location).
Discourse
Semantic analysis
Morphology
Named Entity Recognition
. Attempts to answer the following question: What proportion of actual positives was identified correctly?.
Precision
Recall
F1
is a bad idea for measuring the similarity between Query and
Cosine Similarity
B. Euclidean distance
C. Angle Similarity
D. None of the mentioned
("the book on the table"),("to book a flight"); book verb or noun?
POS
D. Stemming and Lemalization
B. Normalization
Tokenization
Is your hand apart or a part of the feelings of the rest of your arm? "
A. Phonetics and phonology
B. Part of Speech
Morphology
D. None of these
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