[Solved] Why does this ROUGE score calculation code raise an error?from rouge_score import rouge_scorer scorer = rouge_scorer.RougeScorer(['rouge1', 'rouge2'], use_stemmer=True) score = scorer.... | NLP

NLP - Text Generation

Why does this ROUGE score calculation code raise an error?

from rouge_score import rouge_scorer
scorer = rouge_scorer.RougeScorer(['rouge1', 'rouge2'], use_stemmer=True)
score = scorer.score('machine learning', 'machine learning models')
print(score)

AThe score method expects both inputs as tokenized lists, not raw strings

BThe rouge_scorer module does not support 'rouge2' metric

CThe use_stemmer parameter must be set to False

DThe rouge_scorer.RougeScorer class is deprecated

Step-by-Step Solution

Solution:

Step 1: Check input types
The score method requires both candidate and reference as tokenized word lists, not raw strings.
Step 2: Identify cause of error
Passing raw strings causes a type error or unexpected behavior.
Step 3: Verify other options
ROUGE-2 is supported, use_stemmer=True is valid, and RougeScorer is not deprecated.
Final Answer:
The score method expects both inputs as tokenized lists, not raw strings -> Option A
Quick Check:
ROUGE scorer needs tokenized inputs [OK]

Quick Trick: ROUGE scorer inputs must be token lists, not plain strings [OK]

Common Mistakes:

MISTAKES

Passing raw strings instead of token lists
Misunderstanding supported ROUGE metrics
Incorrect use of use_stemmer parameter

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Why does this ROUGE score calculation code raise an error?

Step 1: Check input types

Step 2: Identify cause of error

Step 3: Verify other options

Final Answer:

Quick Check:

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