Natural Language Processing (NLP) Online Test
The Natural Language Processing (NLP) assessment test has been designed and developed by subject matter experts (SME)s to evaluate NLP skills of Natural Language Processing Specialists- as per Industry Standards.
Natural language processing (NLP) is a computer science field along with artificial intelligence and computational linguistics concerned with the interactions between computers and human (natural) languages, and, in particular, concerned with programming computers to fruitfully process large natural language corpora.
Natural Language Processing (NLP) Online Test helps hiring managers & employers to validate the Objective-C coding skills of an applicant before an interview.
Online Natural Language Processing (NLP) Test contains questions on following Topics:
Algorithms for sentence classification
Dimensionality reduction in NLP
Singular Value Decomposition
Weed out irrelevant candidates using Natural Language Processing (NLP) pre-employment test & spend time interviewing only the relevant candidates. Get the detailed reports of test results instantly.
This pre-employment test is useful for hiring:
Software Engineer – NLP
- Natural Language Processing - Technical Architect
- Natural Language Processing Engineer
Rather than checking the theoretical knowledge, we focus on evaluating the applied skills of the candidates through this NLP test.
This Natural Language Processing (NLP) skill Test contains MCQ's (Multiple Choice Questions), MAQ's (Multiple Answer Questions), Fill in the Blank, Descriptive, True or False.
Test Details: 20 minutes
20 Application Questions
The combination of Application questions helps to evaluate Technical as well as practical Skills of Candidates.
Natural Language Processing (NLP) Test
Question #1 of 3
In word vector quantization one of the problems is that relative position of words with respect to target word matters a lot. Which of the following seems good weight term to multiply with each word?
None of the mentioned
Question #2 of 3
Which of the following formula is used as "forget gate" in LSTM (Long Short Term Memory Network)? Here xt denotes input in LSTM at time t and ht denotes computed hidden state in LSTM at time t.
ft = σ(Wf * [ht , xt] + bf)
ft = σ(Wf * [ht-1 , xt] + bf)
ft = σ(Wf * [ht , xt-1 ] + bf)
ft = σ(Wf * [ht-1 , xt-1 ] + bf)
Question #3 of 3
Which of the following is the ambiguous meaning of the given sentence?
"He never drinks coffee"
Note: There can be multiple correct answers to this question.
Someone else drinks coffee
He NEVER EVER drinks coffee
He never DRINKS coffee (he uses it in some other means)
He never drinks COFFEE (he drinks something else)
|Candidate Name: David Messi||Test Date: 28-May-2014|
|Test Name: Natural Language Processing (NLP) Test||Test Start Time: 13.30|
Score: 18 Out Of 20
Natural Language Processing (NLP)
|Strength||Natural Language Processing (NLP)|
|Tolerable Limit||Not acceptable|
|Gender :||Male||Phone Number :||+1-541-754-3010|
|Total Experience (Years) :||3||Total Experience (Months) :||5|
|Skill Set :||Natural Language Processing (NLP)||Current Employer :||Interview Mocha|
|Current Job Title :||Solution Architect||Current Salary :||600.00|
|Expected Salary :||1000000.00||Current Location :||Chicago|
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