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Multiple Choice Questions in NLP
1. Zipf's law tells
us:
(a) head words take
major portion in English vocabulary;
(b) in a given
corpus, if the most frequent word's frequency is 1, then the second frequent
word's frequency is around 0.5;
(c) comparing to
tail words, removing head words helps more to reduce the storage of documents
represented by a vector space model when using a dense matrix data structure;
(d) smoothing is not
necessary.
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Answer:
(b) in a given corpus, if the most frequent
word's frequency is 1, then the second frequent word's frequency is around
0.5
Zipf’s law:
Zipf's law states that given a large sample of words used, the
frequency of any word is inversely proportional to its rank in the frequency
table. So a word that appears at position number n has a frequency
proportional to 1/n.
The law examines the frequency of words in natural language
and how the most common word occurs twice as often as the second most
frequent word, three times as often as the subsequent word and so on until
the least frequent word.
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2. Which of the
following is NOT a good example of cohesive device?
(a) Discourse
markers
(b) Pronouns
(c) Prepositions
(d) Demonstratives
|
Answer:
(c) Prepositions
Cohesive devices, sometimes called linking words, linkers,
connectors, discourse markers or transitional words.
Cohesive Devices are words or phrases that show the
relationship between paragraphs or sections of a text or speech. Cohesive
devices are words like ‘For example‘, ‘In conclusion‘, ‘however‘ and ‘moreover‘.
[For more, refer here]
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3.
In the sentence, “I want a cute teddy for my birthday”, the underlined
part is an example of _____.
(a) Gerund phrase
(b) Verb phrase
(c) Prepositional phrase
(d) Adverbial phrase
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Answer:
None of these options are correct
The underlined text is a noun phrase.
A noun phrase is a word or group of words containing a noun
and functioning in a sentence as subject, object, or prepositional object. It
is a phrase that has a noun as its head or performs the same grammatical
function as a noun.
In a simple definition, noun phrase is a group of words that
function like a noun. Noun phrases are nouns with modifiers.
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4.
Which of the following is an advantage of GLoVE?
(a) The data can be fed
into the model in an online way and needs little preprocessing, thus requires
little memory.
(b) The model is trained
on the co-occurrence matrix of words, which takes a lot of memory for storage.
(c) The model can quickly
give different sized vectors via matrix factorization
(d) It prevents meaningless
stop words like “the”, “an”.
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Answer:
both (c) and (d)
(c) Since the co-occurrence matrix is pre-computed GLoVE can
quickly give different sized vectors via matrix factorization for which many
efficient implementations are available.
(d) It gives lower weight for highly frequent word pairs so as
to prevent the meaningless stop words like “the”, “an” will not dominate the
training progress.
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5.
How to use WordNet to measure semantic relatedness between words:
(a) Measure the shortest
path between two words on WordNet
(b) Count the number of
shared parent nodes
(c) Measure the difference
between their depths in WordNet
(d) Measure the difference
between the size of child nodes they have.
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Answer:
(a) Measure the shortest path between two words
on WordNet
WordNet is a lexical database of semantic relations between
words.
Measuring the shortest path (ie., minimal number of edges)
between two words in WordNet. The path length measure, Leacock-Chodorow, and
Hirst & St-Onge are the similarity measures based on the shortest path
concept. [A possible reference]
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