{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:45:49Z","timestamp":1742913949171,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":23,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819736225"},{"type":"electronic","value":"9789819736232"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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\/978-981-97-3623-2_16","type":"book-chapter","created":{"date-parts":[[2024,6,20]],"date-time":"2024-06-20T10:07:45Z","timestamp":1718878065000},"page":"208-219","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Constructing Personal Knowledge Graph from\u00a0Conversation via\u00a0Deep Reinforcement Learning"],"prefix":"10.1007","author":[{"given":"Fei","family":"Cai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,6,21]]},"reference":[{"issue":"2","key":"16_CR1","doi-asserted-by":"publisher","first-page":"494","DOI":"10.1109\/TNNLS.2021.3070843","volume":"33","author":"S Ji","year":"2021","unstructured":"Ji, S., Pan, S., Cambria, E., Marttinen, P., Philip, S.Y.: A survey on knowledge graphs: representation, acquisition, and applications. IEEE Trans. Neural Netw. Learn. Syst. 33(2), 494\u2013514 (2021)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"16_CR2","doi-asserted-by":"publisher","unstructured":"Balog, K., Kenter, T.: Personal knowledge graphs: a research agenda. In: Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, Santa Clara, CA, USA, pp. 217\u2013220. ACM (2019). https:\/\/doi.org\/10.1145\/3341981.3344241","DOI":"10.1145\/3341981.3344241"},{"key":"16_CR3","doi-asserted-by":"crossref","unstructured":"Hao, X., et al.: Construction and application of a knowledge graph. Remote Sens. 13(13), 2511 (2021)","DOI":"10.3390\/rs13132511"},{"key":"16_CR4","doi-asserted-by":"publisher","unstructured":"Xiao, X.: Knowledge graph technology based on natural language processing and reinforcement learning e-commerce customer service. In: 2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS), Dalian, China, pp. 495\u2013500. IEEE (2022). https:\/\/doi.org\/10.1109\/TOCS56154.2022.10015978","DOI":"10.1109\/TOCS56154.2022.10015978"},{"key":"16_CR5","doi-asserted-by":"crossref","unstructured":"Ji, H., Ke, P., Huang, S., Wei, F., Zhu, X., Huang, M.: Language generation with multi-hop reasoning on commonsense knowledge graph, arXiv preprint arXiv:2009.11692 (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.54"},{"key":"16_CR6","doi-asserted-by":"crossref","unstructured":"Xu, J., Wang, H., Niu, Z.-Y., Wu, H., Che, W., Liu, T.: Conversational graph grounded policy learning for open-domain conversation generation. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 1835\u20131845 (2020)","DOI":"10.18653\/v1\/2020.acl-main.166"},{"key":"16_CR7","doi-asserted-by":"crossref","unstructured":"Ghosal, D., Hong, P., Shen, S., Majumder, N., Mihalcea, R., Poria, S.: CIDER: commonsense inference for dialogue explanation and reasoning, arXiv preprint arXiv:2106.00510 (2021)","DOI":"10.18653\/v1\/2021.sigdial-1.33"},{"key":"16_CR8","doi-asserted-by":"publisher","unstructured":"Ahmad, Z., Ekbal, A., Sengupta, S., Maitra, A., Ramnani, R., Bhattacharyya, P.: Unsupervised approach for knowledge-graph creation from conversation: the use of intent supervision for slot filling. In: 2021 International Joint Conference on Neural Networks (IJCNN), Shenzhen, China, pp. 1\u20138. IEEE (2021). https:\/\/doi.org\/10.1109\/IJCNN52387.2021.9534398","DOI":"10.1109\/IJCNN52387.2021.9534398"},{"key":"16_CR9","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1007\/978-3-030-63820-7_70","volume-title":"Neural Information Processing","author":"Z Ahmad","year":"2020","unstructured":"Ahmad, Z., Ekbal, A., Sengupta, S., Mitra, A., Rammani, R., Bhattacharyya, P.: Active learning based relation classification for knowledge graph construction from conversation data. In: Yang, H., Pasupa, K., Leung, A.C.-S., Kwok, J.T., Chan, J.H., King, I. (eds.) ICONIP 2020. CCIS, vol. 1332, pp. 617\u2013625. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-63820-7_70"},{"key":"16_CR10","unstructured":"Xie, Y., Li, J., Pu, P.: AFEC: A Knowledge Graph Capturing Social Intelligence in Casual Conversations. arXiv, 22 May 2022. http:\/\/arxiv.org\/abs\/2205.10850. Accessed 07 Nov 2023"},{"key":"16_CR11","doi-asserted-by":"publisher","unstructured":"Fu, X., et al.: A speech-to-knowledge-graph construction system. In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, Yokohama, Japan: International Joint Conferences on Artificial Intelligence Organization, pp. 5303\u20135305, July 2020. https:\/\/doi.org\/10.24963\/ijcai.2020\/777","DOI":"10.24963\/ijcai.2020\/777"},{"key":"16_CR12","doi-asserted-by":"crossref","unstructured":"Xiong, W., Hoang, T., Wang, W.Y.: Deeppath: a reinforcement learning method for knowledge graph reasoning, arXiv preprint arXiv:1707.06690 (2017)","DOI":"10.18653\/v1\/D17-1060"},{"key":"16_CR13","doi-asserted-by":"publisher","unstructured":"Li, Z., Jin, X., Guan, S., Wang, Y., Cheng, X.: Path reasoning over knowledge graph: a multi-agent and reinforcement learning based method. In: 2018 IEEE International Conference on Data Mining Workshops (ICDMW), Singapore, Singapore, pp. 929\u2013936. IEEE (2018). https:\/\/doi.org\/10.1109\/ICDMW.2018.00135","DOI":"10.1109\/ICDMW.2018.00135"},{"key":"16_CR14","unstructured":"Das, R., et al.: Go for a walk and arrive at the answer: reasoning over paths in knowledge bases using reinforcement learning, arXiv preprint arXiv:1711.05851 (2017)"},{"key":"16_CR15","doi-asserted-by":"crossref","unstructured":"Godin, F., Kumar, A., Mittal, A.: Learning when not to answer: a ternary reward structure for reinforcement learning based question answering, arXiv preprint arXiv:1902.10236 (2019)","DOI":"10.18653\/v1\/N19-2016"},{"key":"16_CR16","doi-asserted-by":"publisher","unstructured":"Wan, G., Pan, S., Gong, C., Zhou, C., Haffari, G.: Reasoning like human: hierarchical reinforcement learning for knowledge graph reasoning. In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, Yokohama, Japan: International Joint Conferences on Artificial Intelligence Organization, pp. 1926\u20131932, July 2020. https:\/\/doi.org\/10.24963\/ijcai.2020\/267","DOI":"10.24963\/ijcai.2020\/267"},{"key":"16_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105910","volume":"197","author":"Q Wang","year":"2020","unstructured":"Wang, Q., Hao, Y., Cao, J.: ADRL: an attention-based deep reinforcement learning framework for knowledge graph reasoning. Knowl.-Based Syst. 197, 105910 (2020). https:\/\/doi.org\/10.1016\/j.knosys.2020.105910","journal-title":"Knowl.-Based Syst."},{"key":"16_CR18","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1613\/jair.301","volume":"4","author":"LP Kaelbling","year":"1996","unstructured":"Kaelbling, L.P., Littman, M.L., Moore, A.W.: Reinforcement learning: a survey. J. Artif. Intell. Res. 4, 237\u2013285 (1996)","journal-title":"J. Artif. Intell. Res."},{"key":"16_CR19","doi-asserted-by":"crossref","unstructured":"Garcia, F., Rachelson, E.: Markov decision processes. In: Markov Decision Processes in Artificial Intelligence, pp. 1\u201338 (2013)","DOI":"10.1002\/9781118557426.ch1"},{"key":"16_CR20","unstructured":"Devlin, J., Chang, M.-W., Lee, K., Toutanova, K.: BERT, pre-training of deep bidirectional transformers for language understanding. In: NAACL-HLT (2019)"},{"issue":"7","key":"16_CR21","doi-asserted-by":"publisher","first-page":"1235","DOI":"10.1162\/neco_a_01199","volume":"31","author":"Y Yu","year":"2019","unstructured":"Yu, Y., et al.: A review of recurrent neural networks: LSTM cells and network architectures. Neural Comput. 31(7), 1235\u20131270 (2019)","journal-title":"Neural Comput."},{"key":"16_CR22","doi-asserted-by":"publisher","unstructured":"Kaiser, M., Saha Roy, R., Weikum, G.: Reinforcement learning from reformulations in conversational question answering over knowledge graphs. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event Canada, pp. 459\u2013469. ACM (2021). https:\/\/doi.org\/10.1145\/3404835.3462859","DOI":"10.1145\/3404835.3462859"},{"key":"16_CR23","doi-asserted-by":"publisher","unstructured":"Christmann, P., Roy, R.S., Abujabal, A., Singh, J., Weikum, G.: Look before you hop: conversational question answering over knowledge graphs using judicious context expansion. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp. 729\u2013738 (2019). https:\/\/doi.org\/10.1145\/3357384.3358016","DOI":"10.1145\/3357384.3358016"}],"container-title":["Communications in Computer and Information Science","Digital Multimedia Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-3623-2_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,20]],"date-time":"2024-06-20T10:12:16Z","timestamp":1718878336000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-3623-2_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819736225","9789819736232"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-3623-2_16","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"21 June 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IFTC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Forum on Digital TV and Wireless Multimedia Communications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","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":"21 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iftc2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.siga.org.cn\/xshd\/iftc2023.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}