Verified claim · AI-ML · 100% confidence
ROUGE score introduced in paper: ROUGE: A Package for Automatic Evaluation of Summaries (Lin, 2004).
Last verified 2026-05-16 · Methodology veritas-v0.1 · b0eb5c8ac5b4b21e
Structured fields
- Subject
- ROUGE score
- Predicate
introduced_in_paper- Object
- ROUGE: A Package for Automatic Evaluation of Summaries (Lin, 2004)
- Confidence
- 100%
- Tags
- rouge · evaluation-metric · summarization · foundational · 2004 · acl
Sources (2)
[1] peer reviewed · ACL Anthology (Lin) · 2004-07-25
ROUGE: A Package for Automatic Evaluation of Summaries“ROUGE stands for Recall-Oriented Understudy for Gisting Evaluation. It includes measures to automatically determine the quality of a summary by comparing it to other (ideal) summaries created by humans.”
[2] docs · Wikipedia
ROUGE (metric) — Wikipedia
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// "ROUGE score introduced in paper: ROUGE: A Package for Automatic Evaluation of Summaries (Lin, 2004)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/b0eb5c8ac5b4b21e.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "ROUGE score introduced in paper: ROUGE: A Package for Automatic Evaluation of Summaries (Lin, 2004)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_rouge_score_fact() -> dict:
"""Fetch the verified SourceScore claim for ROUGE score."""
r = httpx.get("https://sourcescore.org/api/v1/claims/b0eb5c8ac5b4b21e.json")
return r.json()