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2005.06377
Cited By

SueNes: A Weakly Supervised Approach to Evaluating Single-Document
Summarization via Negative Sampling

v1v2v3 (latest)

SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling

13 May 2020

Cen Chen

ArXiv (abs)PDF HTML

Papers citing "SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling"

3 / 3 papers shown

Reference-free Evaluation Metrics for Text Generation: A Survey

Reference-free Evaluation Metrics for Text Generation: A Survey

Kees van Deemter

422

11

0

21 Jan 2025

MQAG: Multiple-choice Question Answering and Generation for Assessing
Information Consistency in Summarization

MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in SummarizationInternational Joint Conference on Natural Language Processing (IJCNLP), 2023

Potsawee Manakul

265

45

0

28 Jan 2023

DocAsRef: An Empirical Study on Repurposing Reference-Based Summary
Quality Metrics Reference-Freely

DocAsRef: An Empirical Study on Repurposing Reference-Based Summary Quality Metrics Reference-FreelyConference on Empirical Methods in Natural Language Processing (EMNLP), 2022

Cen Chen

238

3

0

20 Dec 2022

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