Part of Speech Tagging in NLP
Authored by Brian Arismendi
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5 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is the primary purpose of Part-of-Speech (POS) tagging in natural language processing (NLP)?
A. Enhancing image recognition
B. Labeling words with corresponding POS
C. Generating random text
D. Calculating numerical values
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which method considers dictionaries to find the base form of a word, including inflections or variations?
A. Stemming
B. Rule-based tagging
C. Hidden Markov Model (HMM)
D. Lemmatization
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is Named Entity Recognition (NER) focused on in natural language processing?
A. Identifying grammatical structures
B. Labeling words with POS
C. Recognizing and classifying entities
D. Transforming tags based on context
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which algorithm is commonly used in Hidden Markov Model (HMM) POS tagging to determine the most likely sequence of POS tags?
A. Bayesian algorithm
B. Naive Bayes algorithm
C. Viterbi algorithm
D. K-means algorithm
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What challenge is associated with Out-of-vocabulary (OOV) words in POS tagging?
A. Words not present in training data
B. Lack of annotated training data
C. Ambiguity in word meanings
D. Inconsistencies in annotated data
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