{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T03:47:19Z","timestamp":1742960839325,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":24,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819981779"},{"type":"electronic","value":"9789819981786"}],"license":[{"start":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T00:00:00Z","timestamp":1701302400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T00:00:00Z","timestamp":1701302400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-99-8178-6_9","type":"book-chapter","created":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T10:02:54Z","timestamp":1701252174000},"page":"109-121","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["DKCS: A Dual Knowledge-Enhanced Abstractive Cross-Lingual Summarization Method Based on\u00a0Graph Attention Networks"],"prefix":"10.1007","author":[{"given":"Shuyu","family":"Jiang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dengbiao","family":"Tu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingshu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenxian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haizhou","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,11,30]]},"reference":[{"key":"9_CR1","doi-asserted-by":"crossref","unstructured":"Bai, Y., Gao, Y., Huang, H.Y.: Cross-lingual abstractive summarization with limited parallel resources. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1), pp. 6910\u20136924 (2021)","DOI":"10.18653\/v1\/2021.acl-long.538"},{"key":"9_CR2","unstructured":"Bougouin, A., Boudin, F., Daille, B.: Topicrank: graph-based topic ranking for keyphrase extraction. In: Proceedings of the Sixth International Joint Conference on Natural Language Processing, pp. 543\u2013551 (2013)"},{"key":"9_CR3","doi-asserted-by":"crossref","unstructured":"Cao, Y., Liu, H., Wan, X.: Jointly learning to align and summarize for neural cross-lingual summarization. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 6220\u20136231 (2020)","DOI":"10.18653\/v1\/2020.acl-main.554"},{"key":"9_CR4","doi-asserted-by":"crossref","unstructured":"Denkowski, M., Lavie, A.: Meteor universal: language specific translation evaluation for any target language. In: Proceedings of the Ninth Workshop on Statistical Machine Translation, pp. 376\u2013380 (2014)","DOI":"10.3115\/v1\/W14-3348"},{"key":"9_CR5","doi-asserted-by":"crossref","unstructured":"Dou, Z.Y., Kumar, S., Tsvetkov, Y.: A deep reinforced model for zero-shot cross-lingual summarization with bilingual semantic similarity rewards. In: Proceedings of the Fourth Workshop on Neural Generation and Translation, pp. 60\u201368 (2020)","DOI":"10.18653\/v1\/2020.ngt-1.7"},{"key":"9_CR6","doi-asserted-by":"crossref","unstructured":"Duan, X., Yin, M., Zhang, M., Chen, B., Luo, W.: Zero-shot cross-lingual abstractive sentence summarization through teaching generation and attention. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 3162\u20133172 (2019)","DOI":"10.18653\/v1\/P19-1305"},{"key":"9_CR7","unstructured":"Dyer, C., Chahuneau, V., Smith, N.A.: A simple, fast, and effective reparameterization of IBM model 2. In: Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 644\u2013648 (2013)"},{"key":"9_CR8","doi-asserted-by":"crossref","unstructured":"Graham, Y., Haddow, B., Koehn, P.: Translationese in machine translation evaluation. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 72\u201381 (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.6"},{"key":"9_CR9","doi-asserted-by":"crossref","unstructured":"Kiritchenko, S., Mohammad, S.: Best-worst scaling more reliable than rating scales: a case study on sentiment intensity annotation. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, pp. 465\u2013470 (2017)","DOI":"10.18653\/v1\/P17-2074"},{"key":"9_CR10","doi-asserted-by":"crossref","unstructured":"Liang, Y., et al.: A variational hierarchical model for neural cross-lingual summarization. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 2088\u20132099 (2022)","DOI":"10.18653\/v1\/2022.acl-long.148"},{"key":"9_CR11","unstructured":"Lin, C.Y.: Rouge: a package for automatic evaluation of summaries. In: Proceedings of the ACL-04 Workshop, pp. 74\u201381 (2004)"},{"key":"9_CR12","doi-asserted-by":"crossref","unstructured":"Liu, Y., et al.: Multilingual denoising pre-training for neural machine translation. Trans. Assoc. Comput. Linguist. 8, 726\u2013742 (2020)","DOI":"10.1162\/tacl_a_00343"},{"key":"9_CR13","doi-asserted-by":"crossref","unstructured":"Mihalcea, R., Tarau, P.: Textrank: bringing order into text. In: Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, pp. 404\u2013411 (2004)","DOI":"10.3115\/1220575.1220627"},{"key":"9_CR14","doi-asserted-by":"crossref","unstructured":"Ouyang, J., Song, B., McKeown, K.: A robust abstractive system for cross-lingual summarization. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 2025\u20132031 (2019)","DOI":"10.18653\/v1\/N19-1204"},{"key":"9_CR15","unstructured":"Takase, S., Okazaki, N.: Multi-task learning for cross-lingual abstractive summarization. In: Proceedings of the Thirteenth Language Resources and Evaluation Conference, pp. 3008\u20133016 (2022)"},{"key":"9_CR16","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Proceedings of the 31st International Conference on Neural Information Processing Systems, pp. 6000\u20136010 (2017)"},{"key":"9_CR17","unstructured":"Veli\u010dkovi\u0107, P., Cucurull, G., Casanova, A., Romero, A., Li\u00f2, P., Bengio, Y.: Graph attention networks. International Conference on Learning Representations (2018)"},{"key":"9_CR18","doi-asserted-by":"crossref","unstructured":"Wang, J., Liang, Y., Meng, F., Li, Z., Qu, J., Zhou, J.: Zero-shot cross-lingual summarization via large language models. arXiv preprint arXiv:2302.14229 (2023)","DOI":"10.18653\/v1\/2023.newsum-1.2"},{"key":"9_CR19","doi-asserted-by":"crossref","unstructured":"Wang, J., et al.: Clidsum: a benchmark dataset for cross-lingual dialogue summarization. arXiv preprint arXiv:2202.05599 (2022)","DOI":"10.18653\/v1\/2022.emnlp-main.526"},{"key":"9_CR20","doi-asserted-by":"crossref","unstructured":"Wang, J., et al.: A survey on cross-lingual summarization. Trans. Assoc. Comput. Linguist. 10, 1304\u20131323 (2022)","DOI":"10.1162\/tacl_a_00520"},{"key":"9_CR21","doi-asserted-by":"crossref","unstructured":"Yu, W., et al.: A survey of knowledge-enhanced text generation. ACM Comput. Surv. (2022)","DOI":"10.1145\/3512467"},{"issue":"10","key":"9_CR22","doi-asserted-by":"publisher","first-page":"1842","DOI":"10.1109\/TASLP.2016.2586608","volume":"24","author":"J Zhang","year":"2016","unstructured":"Zhang, J., Zhou, Y., Zong, C.: Abstractive cross-language summarization via translation model enhanced predicate argument structure fusing. IEEE\/ACM Trans. Audio Speech Lang. Process. 24(10), 1842\u20131853 (2016)","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"key":"9_CR23","doi-asserted-by":"crossref","unstructured":"Zhu, J., et al.: NCLS: neural cross-lingual summarization. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 3045\u20133055. Association for Computational Linguistics, Hong Kong (2019)","DOI":"10.18653\/v1\/D19-1302"},{"key":"9_CR24","doi-asserted-by":"crossref","unstructured":"Zhu, J., Zhou, Y., Zhang, J., Zong, C.: Attend, translate and summarize: an efficient method for neural cross-lingual summarization. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 1309\u20131321 (2020)","DOI":"10.18653\/v1\/2020.acl-main.121"}],"container-title":["Communications in Computer and Information Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-8178-6_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,4]],"date-time":"2024-11-04T07:35:48Z","timestamp":1730705748000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-8178-6_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,30]]},"ISBN":["9789819981779","9789819981786"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-8178-6_9","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023,11,30]]},"assertion":[{"value":"30 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Changsha","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iconip2023.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1274","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"650","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"51% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4.14","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.46","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}