CAT 2020 Question Paper | VARC Slot 3

CAT Previous Year Paper | CAT VARC Questions | Question 26

Sentence Elimination (a) Odd one out is one of the if not the easiest section that you could face in the VA section under the CAT exam. The probability of getting it right is much higher than the Sentence Rearrangement section and being non-negative in nature makes it easier to answer. In the CAT previous year papers, we saw that there were 3 questions on an average per slot in Sentence Elimination. CAT 2020 saw a reduction of questions from 34 to 26 in VARC section because of which the average no. of questions got reduced from 3 to 2. The best place to start your CAT online preparation for the CAT Exam are the actual CAT Previous Year Papers.

Question 26 : Five jumbled up sentences, related to a topic, are given below. Four of them can be put together to form a coherent paragraph. Identify the odd one out and key in the number of the sentence as your answer:

A. Machine learning models are prone to learning human-like biases from the training data that feeds these algorithms.
B. Hate speech detection is part of the on-going effort against oppressive and abusive language on social media.
C. The current automatic detection models miss out on something vital: context.
D. It uses complex algorithms to flag racist or violent speech faster and better than human beings alone.
E. For instance, algorithms struggle to determine if group identifiers like "gay" or "black" are used in offensive or prejudiced ways because they're trained on imbalanced datasets with unusually high rates of hate speech.

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Explanatory Answer

If the sentences were to be arranged in a paragraph, B would be the best opening sentence as it sets the context. BD is a link: B talks about hate speech detection while D explains how it works. AE is also a link: sentence A talks about biases arising due to training data. E gives an example of how flawed training data affects algorithms. BDAE is a possible sequence. C is the odd one out.

The answer is, " C"

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