ROUGE-SEM: Better evaluation of summarization using ROUGE combined with semantics-Reference-Cited by-同舟云学术

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ROUGE-SEM: Better evaluation of summarization using ROUGE combined with semantics

Published:2024-03 Issue: Volume:237 Page:121364
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Zhang Ming^ORCID,Li Chengzhang^ORCID,Wan Meilin,Zhang Xuejun,Zhao Qingwei

Funder

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference71 articles.

1. Revisiting automatic evaluation of extractive summarization task: Can we do better than ROUGE?;Akter,2022

2. Sentence pair embeddings based evaluation metric for abstractive and extractive summarization;Akula,2022

3. Learning bias-reduced word embeddings using dictionary definitions;An,2022

4. METEOR: An automatic metric for MT evaluation with improved correlation with human judgments;Banerjee,2005

5. A comparison of methods for the evaluation of text summarization techniques;Barbella,2021

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Text Summarization with Linguistic Prompting and Reinforcement Learning: A Human-Centered Approach;Tehnicki vjesnik - Technical Gazette;2024-10-15

2. An Approach to Identify the Complete Reduplicated Multiword Expressions in Digital Bengali Text;Journal of The Institution of Engineers (India): Series B;2024-07-15

3. Improvements in natural language understanding using deep learning;Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024);2024-07-05

4. Advancements in the Efficacy of Flan-T5 for Abstractive Text Summarization: A Multi-Dataset Evaluation Using ROUGE and BERTScore;2024 International Conference on Advancements in Power, Communication and Intelligent Systems (APCI);2024-06-21

5. From coarse to fine: Enhancing multi-document summarization with multi-granularity relationship-based extractor;Information Processing & Management;2024-05

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