{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:05:17Z","timestamp":1750219517236,"version":"3.41.0"},"publisher-location":"Singapore","reference-count":26,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819681723","type":"print"},{"value":"9789819681730","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-8173-0_15","type":"book-chapter","created":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T11:42:26Z","timestamp":1750160546000},"page":"187-198","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["From Persona to Person: Enhancing the Naturalness with Multiple Discourse Relations Graph Learning in Personalized Dialogue Generation"],"prefix":"10.1007","author":[{"given":"Chih-Hao","family":"Hsu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4347-0232","authenticated-orcid":false,"given":"Ying-Jia","family":"Lin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8890-8544","authenticated-orcid":false,"given":"Hung-Yu","family":"Kao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,6,18]]},"reference":[{"key":"15_CR1","unstructured":"Asher, N., Hunter, J., Morey, M., Farah, B., Afantenos, S.: Discourse structure and dialogue acts in multiparty dialogue: the STAC corpus. In: Calzolari, N., et al. (eds.) Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), pp. 2721\u20132727. European Language Resources Association (ELRA), Portoro\u017e, Slovenia (2016). https:\/\/aclanthology.org\/L16-1432"},{"key":"15_CR2","doi-asserted-by":"publisher","unstructured":"Bao, S., He, H., Wang, F., Wu, H., Wang, H.: PLATO: pre-trained dialogue generation model with discrete latent variable. In: Jurafsky, D., Chai, J., Schluter, N., Tetreault, J. (eds.) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 85\u201396. Association for Computational Linguistics, Online (2020). https:\/\/doi.org\/10.18653\/v1\/2020.acl-main.9, https:\/\/aclanthology.org\/2020.acl-main.9","DOI":"10.18653\/v1\/2020.acl-main.9"},{"key":"15_CR3","unstructured":"Brody, S., Alon, U., Yahav, E.: How attentive are graph attention networks? In: International Conference on Learning Representations (2022). https:\/\/openreview.net\/forum?id=F72ximsx7C1"},{"key":"15_CR4","doi-asserted-by":"publisher","unstructured":"Chen, R., Wang, J., Yu, L.C., Zhang, X.: Learning to memorize entailment and discourse relations for persona-consistent dialogues. In: Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence and Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence and Thirteenth Symposium on Educational Advances in Artificial Intelligence. AAAI 2023\/IAAI 2023\/EAAI 2023, AAAI Press (2023). https:\/\/doi.org\/10.1609\/aaai.v37i11.26489","DOI":"10.1609\/aaai.v37i11.26489"},{"key":"15_CR5","series-title":"The Springer Series on Challenges in Machine Learning","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1007\/978-3-030-29135-8_7","volume-title":"The NeurIPS 2018 Competition","author":"E Dinan","year":"2020","unstructured":"Dinan, E., et al.: The second conversational intelligence challenge (ConvAI2). In: Escalera, S., Herbrich, R. (eds.) The NeurIPS 2018 Competition. TSSCML, pp. 187\u2013208. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-29135-8_7"},{"key":"15_CR6","doi-asserted-by":"publisher","unstructured":"Dong, Y., Mircea, A., Cheung, J.C.K.: Discourse-aware unsupervised summarization for long scientific documents. In: Merlo, P., Tiedemann, J., Tsarfaty, R. (eds.) Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pp. 1089\u20131102. Association for Computational Linguistics, Online (2021). https:\/\/doi.org\/10.18653\/v1\/2021.eacl-main.93, https:\/\/aclanthology.org\/2021.eacl-main.93","DOI":"10.18653\/v1\/2021.eacl-main.93"},{"key":"15_CR7","doi-asserted-by":"publisher","unstructured":"Feng, X., Feng, X., Geng, X.: Dialogue discourse-aware graph model and data augmentation for meeting summarization. In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21), pp. 3808\u20133814 (2021). https:\/\/doi.org\/10.24963\/ijcai.2021\/524","DOI":"10.24963\/ijcai.2021\/524"},{"key":"15_CR8","doi-asserted-by":"crossref","unstructured":"Huang, Q., et al.: Personalized dialogue generation with persona-adaptive attention. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, no. 11, pp. 12916\u201312923 (2023)","DOI":"10.1609\/aaai.v37i11.26518"},{"key":"15_CR9","doi-asserted-by":"publisher","unstructured":"Jiang, S., de\u00a0Rijke, M.: Why are sequence-to-sequence models so dull? Understanding the low-diversity problem of chatbots. In: Chuklin, A., Dalton, J., Kiseleva, J., Borisov, A., Burtsev, M. (eds.) Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI, pp. 81\u201386. Association for Computational Linguistics, Brussels, Belgium (2018). https:\/\/doi.org\/10.18653\/v1\/W18-5712, https:\/\/aclanthology.org\/W18-5712","DOI":"10.18653\/v1\/W18-5712"},{"key":"15_CR10","doi-asserted-by":"publisher","unstructured":"Lewis, M., et al.: BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension. In: Jurafsky, D., Chai, J., Schluter, N., Tetreault, J. (eds.) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 7871\u20137880. Association for Computational Linguistics, Online (2020). https:\/\/doi.org\/10.18653\/v1\/2020.acl-main.703, https:\/\/aclanthology.org\/2020.acl-main.703","DOI":"10.18653\/v1\/2020.acl-main.703"},{"key":"15_CR11","doi-asserted-by":"publisher","unstructured":"Li, J., Galley, M., Brockett, C., Gao, J., Dolan, B.: A diversity-promoting objective function for neural conversation models. In: Knight, K., Nenkova, A., Rambow, O. (eds.) Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 110\u2013119. Association for Computational Linguistics, San Diego, California (2016). https:\/\/doi.org\/10.18653\/v1\/N16-1014, https:\/\/aclanthology.org\/N16-1014","DOI":"10.18653\/v1\/N16-1014"},{"key":"15_CR12","doi-asserted-by":"publisher","unstructured":"Li, L., Zhang, Y., Chen, L.: Generate neural template explanations for recommendation. In: Proceedings of the 29th ACM International Conference on Information & Knowledge Management, pp. 755\u2013764. CIKM 2020, Association for Computing Machinery, New York, NY, USA (2020). https:\/\/doi.org\/10.1145\/3340531.3411992","DOI":"10.1145\/3340531.3411992"},{"key":"15_CR13","unstructured":"Lin, C.Y.: ROUGE: A package for automatic evaluation of summaries. In: Text Summarization Branches Out, pp. 74\u201381. Association for Computational Linguistics, Barcelona, Spain (2004). https:\/\/www.aclweb.org\/anthology\/W04-1013"},{"key":"15_CR14","doi-asserted-by":"publisher","unstructured":"Liu, Q., et al.: You impress me: dialogue generation via mutual persona perception. In: Jurafsky, D., Chai, J., Schluter, N., Tetreault, J. (eds.) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 1417\u20131427. Association for Computational Linguistics, Online (2020). https:\/\/doi.org\/10.18653\/v1\/2020.acl-main.131, https:\/\/aclanthology.org\/2020.acl-main.131","DOI":"10.18653\/v1\/2020.acl-main.131"},{"key":"15_CR15","doi-asserted-by":"publisher","unstructured":"Madotto, A., Lin, Z., Wu, C.S., Fung, P.: Personalizing dialogue agents via meta-learning. In: Korhonen, A., Traum, D., M\u00e0rquez, L. (eds.) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 5454\u20135459. Association for Computational Linguistics, Florence, Italy (2019). https:\/\/doi.org\/10.18653\/v1\/P19-1542, https:\/\/aclanthology.org\/P19-1542","DOI":"10.18653\/v1\/P19-1542"},{"key":"15_CR16","doi-asserted-by":"publisher","unstructured":"Papineni, K., Roukos, S., Ward, T., Zhu, W.J.: Bleu: a method for automatic evaluation of machine translation. In: Isabelle, P., Charniak, E., Lin, D. (eds.) Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pp. 311\u2013318. Association for Computational Linguistics, Philadelphia, Pennsylvania, USA (2002). https:\/\/doi.org\/10.3115\/1073083.1073135, https:\/\/aclanthology.org\/P02-1040","DOI":"10.3115\/1073083.1073135"},{"key":"15_CR17","doi-asserted-by":"publisher","unstructured":"Song, H., Wang, Y., Zhang, K., Zhang, W.N., Liu, T.: BoB: BERT over BERT for training persona-based dialogue models from limited personalized data. In: Zong, C., Xia, F., Li, W., Navigli, R. (eds.) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp. 167\u2013177. Association for Computational Linguistics, Online (2021). https:\/\/doi.org\/10.18653\/v1\/2021.acl-long.14, https:\/\/aclanthology.org\/2021.acl-long.14","DOI":"10.18653\/v1\/2021.acl-long.14"},{"key":"15_CR18","doi-asserted-by":"publisher","unstructured":"Song, H., Zhang, W.N., Hu, J., Liu, T.: Generating persona consistent dialogues by exploiting natural language inference. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, no. 05, pp. 8878\u20138885 (2020). https:\/\/doi.org\/10.1609\/aaai.v34i05.6417","DOI":"10.1609\/aaai.v34i05.6417"},{"key":"15_CR19","unstructured":"Wolf, T., Sanh, V., Chaumond, J., Delangue, C.: TransferTransfo: a transfer learning approach for neural network based conversational agents. arXiv preprint arXiv:1901.08149 (2019)"},{"key":"15_CR20","doi-asserted-by":"publisher","unstructured":"Wu, L., Lin, H., Tan, C., Gao, Z., Li, S.Z.: Self-supervised learning on graphs: contrastive, generative, or predictive. IEEE Trans. on Knowl. and Data Eng. 35(4), 4216\u20134235 (2023). https:\/\/doi.org\/10.1109\/TKDE.2021.3131584","DOI":"10.1109\/TKDE.2021.3131584"},{"key":"15_CR21","doi-asserted-by":"publisher","unstructured":"Ye, Z., Lu, L., Huang, L., Lin, L., Liang, X.: Towards quantifiable dialogue coherence evaluation. In: Zong, C., Xia, F., Li, W., Navigli, R. (eds.) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp. 2718\u20132729. Association for Computational Linguistics, Online (2021). https:\/\/doi.org\/10.18653\/v1\/2021.acl-long.211, https:\/\/aclanthology.org\/2021.acl-long.211","DOI":"10.18653\/v1\/2021.acl-long.211"},{"key":"15_CR22","doi-asserted-by":"publisher","unstructured":"Zhang, S., Dinan, E., Urbanek, J., Szlam, A., Kiela, D., Weston, J.: Personalizing dialogue agents: i have a dog, do you have pets too? In: Gurevych, I., Miyao, Y. (eds.) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 2204\u20132213. Association for Computational Linguistics, Melbourne, Australia (2018). https:\/\/doi.org\/10.18653\/v1\/P18-1205, https:\/\/aclanthology.org\/P18-1205","DOI":"10.18653\/v1\/P18-1205"},{"key":"15_CR23","unstructured":"Zhang*, T., Kishore*, V., Wu*, F., Weinberger, K.Q., Artzi, Y.: BERTscore: evaluating text generation with BERT. In: International Conference on Learning Representations (2020). https:\/\/openreview.net\/forum?id=SkeHuCVFDr"},{"key":"15_CR24","unstructured":"Zhang, Y., et al.: Generating informative and diverse conversational responses via adversarial information maximization, vol. 31. Inc, Curran Associates (2018)"},{"key":"15_CR25","doi-asserted-by":"crossref","unstructured":"Zhang, Y., et al.: DialoGPT: large-scale generative pre-training for conversational response generation. In: ACL, System Demonstration (2020)","DOI":"10.18653\/v1\/2020.acl-demos.30"},{"key":"15_CR26","doi-asserted-by":"publisher","unstructured":"Zhou, J., Pang, L., Shen, H., Cheng, X.: SimOAP: Improve coherence and consistency in persona-based dialogue generation via over-sampling and post-evaluation. In: Rogers, A., Boyd-Graber, J., Okazaki, N. (eds.) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 9945\u20139959. Association for Computational Linguistics, Toronto, Canada (2023). https:\/\/doi.org\/10.18653\/v1\/2023.acl-long.553, https:\/\/aclanthology.org\/2023.acl-long.553","DOI":"10.18653\/v1\/2023.acl-long.553"}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-8173-0_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T11:42:30Z","timestamp":1750160550000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-8173-0_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819681723","9789819681730"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-8173-0_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"18 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PAKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific-Asia Conference on Knowledge Discovery and Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sydney, NSW","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pakdd2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/pakdd2025.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}