CAT 2020 Slot 3 — VARC 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:
1. Machine learning models are prone to learning human-like biases from the training data that feeds these algorithms.
2. Hate speech detection is part of the on-going effort against oppressive and abusive language on social media.
3. The current automatic detection models miss out on something vital: context.
4. It uses complex algorithms to flag racist or violent speech faster and better than human beings alone.
5. 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.
Answer & solution
Correct answer: 3
Answer: 3
Easy
Track the pronouns and connectors. “It” (sentence 4) and “For instance” (sentence 5) each demand a specific antecedent; the sentence that fits none of these links is the odd one out.
Pair 2–4. Sentence 4 opens with “It uses complex algorithms to flag racist or violent speech…” The singular “It” cannot be the plural “models”(1) or “algorithms”(5); it fits the singular “hate speech detection” of sentence 2. So 2–4.
Pair 1–5. Sentence 1 states that models “learn human-like biases from the training data.” Sentence 5 begins “For instance, algorithms struggle… because they’re trained on imbalanced datasets,” giving the concrete example of that bias. So 1–5.
Assemble the paragraph. Sentence 2 introduces hate-speech detection, 4 says what it does, 1 raises the bias flaw, and 5 illustrates it — a coherent unit 2–4–1–5.
Expose the misfit (3). Sentence 3 — “The current automatic detection models miss out on something vital: context” — raises a different shortcoming (lack of context, not biased training data) and links to none of the established pairs. It is the odd one out.
The odd one out is 3.