NLP Natural Language Processing MCQ's

Question 361 :
Which of the following is NOT an example of a typical discourse structure?

1. narratee
2. list
3. narrative
4. question-answer

Question 362 :
What could possibly be the environment of a Satellite Image Analysis System?

1. Computers in space and earth
2. Image categorization techniques
3. Statistical data on image pixel intensity value and histograms
4. All of the mentioned

Question 363 :
e.g. 'do', 'eat', 'go' are examples of which type of verb

1. Regular verb
2. Irregular verb
3. Complex verb
4. Normal verb

Question 364 :
Class of methods that induces a classifier from manually sense-tagged text using machine learning techniques.

1. Supervised WSD
2. unsupervised WSD
3. Semi-supervised WSD
4. Normal WSD

Question 365 :
In Nlp, The Process Of Identifying People, An Organization From A Given Sentence, Paragraph Is Called

1. Stemming
2. Lemmatization
3. Stop Word Removal
4. Named Entity Recognition

Question 366 :
Which is not an example of stop word?

1. a
2. is
3. an
4. good

Question 367 :
___ are created when the constituents within the sentence describe the role of the entities (We look at the NP in a sentence to see who/what is creating the action in the VP); found in each sentence

1. Semantic Analysis
2. Semantics
3. Syntactic features
4. Semantic Roles

Question 368 :
Which of the following is not correct with respect to Word Sense Disambiguation (WSD)

1. It offers sense definitions of words
2. Identifies synsets of synonyms
3. Defines a number of semantic relations
4. It’s not free

Question 369 :
Among Which Of Following Models Identify Dependency Between Each State And The Entire Input Sequences

1. Conditional Random Fields
2. Maximum Entropy Markov Model
3. Naive Bayes Model
4. Depth-First Model

Question 370 :
Performance metric for classifier doesn't include

1. Accuracy
2. Precision
3. Recall
4. Average

Question 371 :
It uses statistical methods to resolve some of the difficulties in symbolic approach. It does this by harnessing various mathematical techniques and often using large text corpora to develop approximately generalized models of linguistic phenomena based on actual examples.

1. Convolutional Neural Networks
2. Rule based Approach
3. Corpus based.
4. Statistical Approach

Question 372 :
In linguistic morphology _____________ is the process for reducing inflected words to their root form.

1. Rooting
2. Stemming
3. Text-Proofing
4. Both Rooting - Stemming

Question 373 :
What is the right order for a text classification model components 1. Text cleaning 2. Text annotation 3. Gradient descent 4. Model tuning 5. Text to predictors

1. 12345
2. 13425
3. 12534
4. 13452

Question 374 :
What do you by Sequence Learning?

1. Sequence learning is a method of only teaching in a logical manner
2. Sequence learning is a method of teaching and learning in a logical manner.
3. All of the mentioned
4. None of the mentioned

Question 375 :
Parts-of-Speech tagging determines ___________

1. part-of-speech for each word dynamically as per meaning of the sentence
2. part-of-speech for each word dynamically as per sentence structure
3. all part-of-speech for a specific word given as input
4. all of the mentioned

Question 376 :
______has the same spelling and sound, but do not have related meanings

1. Homophones
2. Polysemy
3. Homonymy
4. Synonymy

Question 377 :
In which method parts of the documents are labeled and other parts are not labeled during text categorization

1. Supervised learning method
2. Unsupervised learning method
3. Semi-supervised learning method
4. Sub-supervised learning method

Question 378 :
Anita has got the transcripts for the Minster's press meet on NEP. She wants to summarize the Minister’s opinion on NEP strengths and weakness. Which of the following sumamrization methods should she apply?

1. Abstractive generic
2. Extractive generic
3. Abstractive query focussed
4. Summative generic

Question 379 :
NLP Stands for.

1. Natural Language Protocol
2. Natural Lingual Protocol
3. Natural Lingual Processing
4. Natural Language Processing

Question 380 :
Automatic document classification doesn't techniques include

1. K-nearest neighbour algorithms
2. Support vector machines (SVM)
3. Predicate Logic
4. Naive Bayes classifier

Question 381 :
RSG stands for

1. Rich Sentence Graph
2. Real Summary Graph
3. Rich Syntactic Graph
4. Rich Semantic Graph

Question 382 :
Identify odd one out

1. Noun phrase
2. Verb phrase
3. Prepositional phrase
4. Sentences

Question 383 :
Which of the following techniques can be used to compute the distance between two words?

1. Lemmatization
2. Part of Speech Tagging
3. Dekang Lin
4. N-grams

Question 384 :
In the case of Search Engine Optimization, ................. NLP technique can be used

1. Machine Transltion
2. Question Ansering System
3. Text summarization
4. Sentiment Analysis

Question 385 :
Hyponym is

1. Parent node
2. Child node
3. Root node
4. Part of centre node

Question 386 :
In NLP, The process of identifying people, an organization from a given sentence, paragraph is called

1. Stemming
2. Lemmatization
3. Stop word removal
4. Named entity recognition

Question 387 :
If your training loss increases with number of epochs, which of the following could be a possible issue with the learning process?

1. Regularization is too low and model is overfitting
2. Regularization is too high and model is underfitting
3. Step size is too large
4. Step size is too small

Question 388 :
What Does The Phenomena That Operates At Discourse Level Include?

1. Cohesion And Coherence
2. Corrosion And Erosion
3. Connection And Resolution
4. Co-Ordination And Co-Operation

Question 389 :
‘The Indian Soldiers fought like a Lion’, in order to understand the real meaning the statement has to undergo

1. Semantic Analysis
2. Pragmatic Analysis
3. Discourse Analysis
4. Syntactic Analysis

Question 390 :
What is the main challenge/s of NLP?

1. Handling Ambiguity of Sentences
2. Handling Tokenization
3. Handling POS-Tagging
4. parsing