CAT 2020 Question Paper | CAT Verbal Ability Slot 3
Question :

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.

 
 

Started 2 months ago by Shashank in

Answer : C

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.

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