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WorksheetsNatural Language Processing CT-2
Total questions: 20
Worksheet time: 40mins
Why is code switching considered a challenge in sentence boundary detection in natural language processing?
It simplifies the identification of sentence boundaries
It has no impact on sentence boundary detection
It standardizes the sentence structure across languages
It affects the characteristics of sentences by introducing different punctuation rules
How is topic segmentation typically approached in natural language processing?
By automatically dividing a stream of text into topically homogeneous blocks
By focusing on sentence boundaries only
By analyzing punctuation marks
By categorizing words based on their meanings
What is the primary difference between generative and discriminative sequence classification methods in natural language processing?
Generative methods estimate the joint distribution of observations and labels, while discriminative methods focus on differences between labeling examples
Generative methods require iterative optimization, while discriminative methods do not
Generative methods use local features, while discriminative methods use global features
Generative methods focus on feature differences, while discriminative methods estimate joint distributions
Why is sentence boundary detection challenging in conversational text or multiparty meetings?
The use of formal language structures simplifies boundary detection
The boundaries may not be absolute due to ungrammatical sentences and disfluencies
The lack of topic shifts in conversations complicates boundary identification
The presence of clear punctuation marks makes boundary detection difficult
What is the primary goal of sentence boundary detection in natural language processing?
To segment words into phrases
To determine where sentences begin and end
To classify sentence types
To identify punctuation marks
___________ tools allow businesses to identify customer sentiment toward products, brands or services in online feedback.
Syntactical analysis
Sentiment Analysis
Hybrid analysis
Lexical analysis
Sentiment analysis is also known as ____.
Opinion mining
Data mining
Text Analysis
Automatic Summerization
What Is The Major Difference Between Crf (Conditional Random Field) And Hmm (Hidden Markov Model)?
Crf And Hmm Are Generative Model
Crf Is Discriminative Whereas Hmm Is Generative Model
Crf Is Generative Whereas Hmm Is Discriminative Model
Crf And Hmm Are Discriminative Model
Which algorithm is used to train HMM model?
A centering algorithm
Early algorithm
Lexk algorithm
Forward-backward or Welch algorithm
Following property is of - .These taggers are knowledge-driven.
Rule based Tagging and Stochastic Tagging
Rule based Tagging
Stochastic Tagging
Neither Rule based Tagging nor Stochastic Tagging
"Ram's bike is new" is _____________ type of presupposition.
Existential
Factive
Lexical
Structural
HMM graphs consist of a Hidden Space and Observed Space, where the hidden space consists of the _______ and the observed space is the ______.
Labels, Input
Values, Variables
Variables, Values
Input, Categories
Symbolic Approach is also called _____.
Rule based Approach.
Convolutional Neural Networks.
Corpus based.
Hybrid.
What is corpus?
A corpus is collection of Parameters and arguments
A corpus is a large and structured set of machine-readable texts that have been produced in
a natural communicative setting.
It refers to a situation where the context of a phrase gives it multiple interpretation
All of the above
In HMMs, spaces are connected via __________ matrices {T,A} to represent the probability of ____________ from one state to another following their _____
Transitions, Transitioning, Connections
Transitions, Chaning, Sets
Attribute, Changing, groups
Label, moving, sets
_____ is a process of assigning corresponding part of speech like noun, verb, adverb, adjective, verb to each word in a sentence.
Parsing
Name entity tagging
Disambiguation
Part of speech tagging
Which Of the Following Best Describes Grammar Induction?
Supervised Learning Problem
Conditional Random Field Problem
Maximum-A-Posteriori (Map) Estimation Problem
Unsupervised Learning Problem
____________________ is the step in which an input sentence is converted into a hierarchical structure that corresponds to the units of meaning in the sentence.
Semantic Processing
Syntactic Processing
Graph Processing
All of the mentioned
How does the TextTiling method contribute to topic segmentation in natural language processing?
It uses a lexical cohesion metric in a word vector space to indicate topic similarity
It focuses on sentence boundaries to determine topic shifts
It utilizes punctuation marks to segment topics
It relies on syntactic analysis to identify topic boundaries
What is the main drawback of enumerative morphological models in natural language processing?
Limited coverage and lack of generative potential
High accuracy and efficiency
Ease of development and verification
Robustness in handling irregularities
