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Recent questions in NLP using Python
0
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1
answer
Which of the following model needs fewer training samples to learn the word embeddings?
asked
Mar 5, 2023
in
NLP using Python
by
Robindeniel
nlp
0
votes
1
answer
Which of the following values is passed to sg parameter of gensim Word2Vec() to generate word vectors using CBOW gram model?
asked
Mar 5, 2023
in
NLP using Python
by
Robindeniel
cbow
0
votes
1
answer
Which of the following function in Keras is used to add the embedding layer to the model?
asked
Mar 5, 2023
in
NLP using Python
by
Robindeniel
layer-model
0
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1
answer
Which of the following activations is used in the CBOW model in its final layer to learn word embeddings?
asked
Mar 5, 2023
in
NLP using Python
by
Robindeniel
nlp
0
votes
1
answer
Which of the following option is the drawback of representing text as one hot encoding?
asked
Mar 5, 2023
in
NLP using Python
by
Robindeniel
nlp
0
votes
1
answer
For the window size two, what would be the maximum number of target words that can be sampled for skip gram model?
asked
Mar 5, 2023
in
NLP using Python
by
Robindeniel
window-size
nlp
0
votes
1
answer
Which of the following model tries to predict the context word based on the target?
asked
Mar 5, 2023
in
NLP using Python
by
Robindeniel
nlp
0
votes
1
answer
Which of the following model learns the word embeddings based on the co-occurrence of the words in the corpus?
asked
Mar 5, 2023
in
NLP using Python
by
Robindeniel
nlp
0
votes
1
answer
Which of the following algorithm takes into account the global context of the word to generate word vectors?
asked
Mar 5, 2023
in
NLP using Python
by
Robindeniel
nlp
glove-model
0
votes
1
answer
Which of the following model does not use the activation function to generate word embeddings?
asked
Mar 5, 2023
in
NLP using Python
by
Robindeniel
nlp
0
votes
1
answer
Which of the following is the constructor used in gensim to generate word vectors?
asked
Mar 5, 2023
in
NLP using Python
by
Robindeniel
nlp
0
votes
1
answer
Which of the following metrics uses the dot product of two vectors to determine the similarity?
asked
Mar 5, 2023
in
NLP using Python
by
Robindeniel
dot-product
nlp
0
votes
1
answer
Which of the following models use co-occurrence matric to generate word vectors?
asked
Mar 5, 2023
in
NLP using Python
by
Robindeniel
nlp
0
votes
1
answer
What is the POS tag for unknown?
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
nlp
spacy
0
votes
1
answer
What is the output of: doc = nlp(“The quick brown fox jumps over the lazy dog”) print(doc[2:4])?
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
nlp
spacy
0
votes
1
answer
What is the name of the displaCy visualizer?
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
nlp
spacy
0
votes
1
answer
displaCy can be used in Jupyter Notebooks. Is the statement true or false?
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
displacy
spacy
nlp
0
votes
1
answer
Indexing in a Span object is character-wise. Is the statement true or false?
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
indexing
nlp
spacy
0
votes
1
answer
A Doc object is a collection of what objects?
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
doc-object
spacy
nlp
0
votes
1
answer
Name the function used to find similarity score in spaCy?
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
nlp
spacy
0
votes
1
answer
______ is the displaCy method used to get the HTML representation of the visualization.
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
nlp
spacy
0
votes
1
answer
Strings are handled internally in their unhashed forms.Is the statement true or false?
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
nlp
spacy
0
votes
1
answer
Name the method that can be used to find the expansion of abbreviations in spaCy.
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
nlp
method
spacy
0
votes
1
answer
DisplaCy is used to visualize syntactic dependencies. Is the statement true or false?
asked
Sep 28, 2022
in
NLP using Python
by
john ganales
displacy
spacy
nlp
0
votes
1
answer
TF-IDF helps you to establish?
asked
Sep 8, 2022
in
NLP using Python
by
Robin
nlp
tf
idf
0
votes
1
answer
Identify the odd one out
asked
Sep 8, 2022
in
NLP using Python
by
Robin
nlp
0
votes
1
answer
In NLP, Tokens are converted into numbers before giving to any Neural Network
asked
Sep 8, 2022
in
NLP using Python
by
Robin
nlp
token
0
votes
1
answer
In NLP, The process of converting a sentence or paragraph into tokens is referred to as Stemming
asked
Sep 8, 2022
in
NLP using Python
by
Robin
nlp
process
0
votes
1
answer
In NLP, The process of removing words like “and”, “is”, “a”, “an”, “the” from
asked
Sep 8, 2022
in
NLP using Python
by
Robin
nlp
process
0
votes
1
answer
In NLP, The algorithm decreases the weight for commonly used words and increases the weight for words that are not used very much in a collection of documents
asked
Sep 8, 2022
in
NLP using Python
by
Robin
nlp
algorithms
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