{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,29]],"date-time":"2025-11-29T06:56:17Z","timestamp":1764399377751,"version":"3.46.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T00:00:00Z","timestamp":1750809600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T00:00:00Z","timestamp":1750809600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,25]]},"DOI":"10.1109\/snpd65828.2025.11254026","type":"proceedings-article","created":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T18:40:29Z","timestamp":1764355229000},"page":"964-969","source":"Crossref","is-referenced-by-count":0,"title":["DEG-Sum: Discourse-aware Event Graph Summarization for News Texts"],"prefix":"10.1109","author":[{"given":"Qiyi","family":"Wei","sequence":"first","affiliation":[{"name":"Communication University of China,School of Computer and Cyber Sciences,Beijing,China"}]},{"given":"Xin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Communication University of China,School of Computer and Cyber Sciences,Beijing,China"}]},{"given":"Wen Qian","family":"Shang","sequence":"additional","affiliation":[{"name":"Communication University of China,School of Computer and Cyber Sciences,Beijing,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.703"},{"issue":"140","key":"ref2","first-page":"1","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","volume":"21","author":"Raffel","year":"2020","journal-title":"Journal of Machine Learning Research"},{"key":"ref3","first-page":"11328","article-title":"PEGASUS: Pre-training with extracted gap-sentences for abstractive summarization","volume-title":"Proceedings of the 37th International Conference on Machine Learning","author":"Zhang"},{"key":"ref4","first-page":"1693","article-title":"Teaching machines to read and comprehend","volume":"28","author":"Hermann","year":"2015","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1206"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.04.004"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.451"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1515\/text.1.1988.8.3.243"},{"article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proceedings of the 5th International Conference on Learning Representations (ICLR)","author":"Kipf","key":"ref9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.eacl-main.249"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.415"},{"key":"ref12","first-page":"5357","article-title":"C-GNN: A graph-based reasoning framework for causal question answering","volume-title":"Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI)","author":"Yao"},{"key":"ref13","first-page":"5844","article-title":"DGCNN: Discourse-aware graph convolutional neural network for event detection","volume-title":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing","author":"Guo"},{"key":"ref14","first-page":"10615","article-title":"SGG-Dual: Semantic graph generation with dual decoding for document-level event extraction","volume-title":"Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing","author":"Li"},{"key":"ref15","first-page":"3124","article-title":"RST-LoRA: Parameter-efficient rhetorical structure modeling for long-document summarization","volume-title":"Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics","author":"Liu"},{"key":"ref16","first-page":"4432","article-title":"Discourse-aware heterogeneous graph for cross-document event coreference","volume-title":"Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing","author":"Gao"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-91501-2"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-2501"},{"key":"ref19","first-page":"4473","article-title":"NeuralRST: An end-to-end neural rhetorical structure parser","volume-title":"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)","author":"Yu"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1158"},{"key":"ref21","first-page":"404","article-title":"Textrank: Bringing order into text[C]","volume-title":"Proceedings of the 2004 conference on empirical methods in natural language processing","author":"Mihalcea"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D13-1158"},{"article-title":"A deep reinforced model for abstractive summarization","volume-title":"International Conference on Learning Representations (ICLR)","author":"Paulus","key":"ref23"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1099"},{"key":"ref25","first-page":"4258","article-title":"Discourse-aware neural extractive text summarization","volume-title":"Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI)","author":"Xu"},{"issue":"140","key":"ref26","first-page":"1","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","volume":"21","author":"Raffel","year":"2020","journal-title":"Journal of Machine Learning Research"},{"key":"ref27","article-title":"Language models are unsupervised multitask learners","volume-title":"OpenAI Technical Report","author":"Radford","year":"2019"},{"article-title":"LLaMA 2: Open foundation and fine-tuned chat models","year":"2023","author":"Touvron","key":"ref28"}],"event":{"name":"2025 IEEE\/ACIS 29th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel\/Distributed Computing (SNPD)","start":{"date-parts":[[2025,6,25]]},"location":"Busan, Korea, Republic of","end":{"date-parts":[[2025,6,27]]}},"container-title":["2025 IEEE\/ACIS 29th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel\/Distributed Computing (SNPD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11251382\/11252538\/11254026.pdf?arnumber=11254026","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,29]],"date-time":"2025-11-29T06:51:55Z","timestamp":1764399115000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11254026\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,25]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/snpd65828.2025.11254026","relation":{},"subject":[],"published":{"date-parts":[[2025,6,25]]}}}