Information Retrival Techniques Set 6
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This set of Information Retrival Techniques Multiple Choice Questions & Answers (MCQs) focuses on Information Retrival Techniques Set 6
Q1 | In nearest neighbour case, the stored pattern closest to input pattern is recalled, where does it occurs?
- feedback pattern classification
- feedforward pattern classification
- can be feedback or feedforward
- none of the mentioned
Q2 | What is the field of Natural Language Processing (NLP)?
- computer science
- artificial intelligence
- linguistics
- all of the mentioned
Q3 | What is the main challenge/s of NLP?
- handling ambiguity of sentences
- handling tokenization
- handling pos-tagging
- all of the mentioned
Q4 | Choose form the following areas where NLP can be useful.
- automatic text summarization
- automatic question-answering systems
- information retrieval
- all of the mentioned
Q5 | Which of the following includes major tasks of NLP?
- automatic summarization
- discourse analysis
- machine translation
- all of the mentioned
Q6 | What is Coreference Resolution?
- anaphora resolution
- given a sentence or larger chunk of text, determine which words (“mentions”) refer to the same objects (“entities”)
- all of the mentioned
- none of the mentioned
Q7 | What is Machine Translation?
- converts one human language to another
- converts human language to machine language
- converts any human language to english
- converts machine language to human language
Q8 | What is Morphological Segmentation?
- does discourse analysis
- separate words into individual morphemes and identify the class of the morphemes
- is an extension of propositional logic
- none of the mentioned
Q9 | Which of the following clustering type has characteristic shown in the below figure?
- partitional
- hierarchical
- naive bayes
- none of the mentioned
Q10 | Point out the correct statement.
- the choice of an appropriate metric will influence the shape of the clusters
- hierarchical clustering is also called hca
- in general, the merges and splits are determined in a greedy manner
- all of the mentioned
Q11 | Which of the following is finally produced by Hierarchical Clustering?
- final estimate of cluster centroids
- tree showing how close things are to each other
- assignment of each point to clusters
- all of the mentioned
Q12 | Which of the following is required by K- means clustering?
- defined distance metric
- number of clusters
- initial guess as to cluster centroids
- all of the mentioned
Q13 | Point out the wrong statement.
- k-means clustering is a method of vector quantization
- k-means clustering aims to partition n observations into k clusters
- k-nearest neighbor is same as k-means
- none of the mentioned
Q14 | Which of the following combination is incorrect?
- continuous – euclidean distance
- continuous – correlation similarity
- binary – manhattan distance
- none of the mentioned
Q15 | Which of the following function is used for k-means clustering?
- k-means
- k-mean
- heatmap
- none of the mentioned
Q16 | Which of the following clustering requires merging approach?
- partitional
- hierarchical
- naive bayes
- none of the mentioned
Q17 | What is Machine learning?
- the autonomous acquisition of knowledge through the use of computer programs
- the autonomous acquisition of knowledge through the use of manual programs
- the selective acquisition of knowledge through the use of computer programs
- the selective acquisition of knowledge through the use of manual programs
Q18 | Which of the factors affect the performance of learner system does not include?
- representation scheme used
- training scenario
- type of feedback
- good data structures
Q19 | Different learning methods does not include?
- memorization
- analogy
- deduction
- introduction
Q20 | In language understanding, the levels of knowledge that does not include?
- phonological
- syntactic
- empirical
- logical
Q21 | A model of language consists of the categories which does not include?
- language units
- role structure of units
- system constraints
- structural units
Q22 | What is a top-down parser?
- begins by hypothesizing a sentence (the symbol s) and successively predicting lower level constituents until individual preterminal symbols are written
- begins by hypothesizing a sentence (the symbol s) and successively predicting upper level constituents until individual preterminal symbols are written
- begins by hypothesizing lower level constituents and successively predicting a sentence (the symbol s)
- begins by hypothesizing upper level constituents and successively predicting a sentence (the symbol s)
Q23 | Among the following which is not a horn clause?
- p
- Øp v q
- p → q
- p → Øq
Q24 | The action ‘STACK(A, B)’ of a robot arm specify to
- place block b on block a
- place blocks a, b on the table in that order
- place blocks b, a on the table in that order
- place block a on block b
Q25 | A is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
- decision tree
- graphs
- trees
- neural networks