Generating Representative Headlines for News Stories
Author:
Affiliation:
1. University of Illinois at Urbana-Champaign
2. Google
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3366423.3380247
Reference70 articles.
1. Headline generation based on statistical translation
2. Information fusion in the context of multi-document summarization
3. Tal Baumel Matan Eyal and Michael Elhadad. 2018. Query focused abstractive summarization: Incorporating query relevance multi-document coverage and summary length constraints into seq2seq models. arXiv preprint arXiv:1801.07704(2018). Tal Baumel Matan Eyal and Michael Elhadad. 2018. Query focused abstractive summarization: Incorporating query relevance multi-document coverage and summary length constraints into seq2seq models. arXiv preprint arXiv:1801.07704(2018).
4. Jaime G Carbonell and Jade Goldstein. 1998. The use of MMR diversity-based reranking for reordering documents and producing summaries.. In SIGIR Vol. 98. 335–336. Jaime G Carbonell and Jade Goldstein. 1998. The use of MMR diversity-based reranking for reordering documents and producing summaries.. In SIGIR Vol. 98. 335–336.
Cited by 19 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. Generating Headlines from Article Summaries Using Transformer Models;2024 International Conference on Expert Clouds and Applications (ICOECA);2024-04-18
2. Feature-based Unsupervised Method for Salient Sentence Ranking in Text Summarization Task;Proceedings of the 2024 9th International Conference on Intelligent Information Technology;2024-02-23
3. Put Your Voice on Stage: Personalized Headline Generation for News Articles;ACM Transactions on Knowledge Discovery from Data;2023-12-09
4. Fact-Preserved Personalized News Headline Generation;2023 IEEE International Conference on Data Mining (ICDM);2023-12-01
5. Transformatör mimarisi tabanlı derin öğrenme yöntemi ile Türkçe haber metinlerine başlık üretme;Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi;2023-08-21
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3