{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,26]],"date-time":"2025-09-26T19:10:06Z","timestamp":1758913806264,"version":"3.44.0"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032061355","type":"print"},{"value":"9783032061362","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T00:00:00Z","timestamp":1758931200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T00:00:00Z","timestamp":1758931200000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-06136-2_20","type":"book-chapter","created":{"date-parts":[[2025,9,26]],"date-time":"2025-09-26T18:37:59Z","timestamp":1758911879000},"page":"207-215","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Identification of Potential Co-citation Linkages via Context-Aware Citation Network Embeddings"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2029-6745","authenticated-orcid":false,"given":"Masaki","family":"Eto","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,9,27]]},"reference":[{"key":"20_CR1","unstructured":"Gipp, B.,\u00a0 \u00a0 Beel, J.: Citation proximity analysis (CPA) - a new approach for identifying related work based on co-citation analysis. In: Proceedings of the 12th International Conference on Scientometrics and Informetrics, vol. 2, pp. 571\u2013575\u00a0 (2009)"},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"Eto, M.:\u00a0 Evaluations of context-based co-citation searching. Scientometrics 94(2), 651\u2013673\u00a0(2013)","DOI":"10.1007\/s11192-012-0756-z"},{"key":"20_CR3","unstructured":"Devlin, J., Chang, M.-W., Lee, K., Toutanova, K..BERT: pre-training of deep bidirectional transformers for language understanding. 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. 4171\u20134186\u00a0 (2019)"},{"key":"20_CR4","unstructured":"Eto., M.: Can the strength of co-citation linkages be evaluated using context-aware citation network embeddings?. In: Proceedings of 2nd Workshop on Innovation Measurement for Scientific Communication (IMSC) in the Era of Big Data co-located with the ACM\/IEEE Joint Conference on Digital Libraries 2024, Hong Kong and online (2024)"},{"key":"20_CR5","doi-asserted-by":"crossref","unstructured":"Ohagi, M.,\u00a0 \u00a0Aizawa, A.:. Pre-trained transformer-based citation context-aware citation network embeddings. In: The ACM\/IEEE Joint Conference on Digital Libraries in 2022 (JCDL 2022), 20\u201324 June\u00a0 2022, Cologne, Germany\u00a0 (2022)","DOI":"10.1145\/3529372.3533290"},{"key":"20_CR6","doi-asserted-by":"crossref","unstructured":"Beltagy, I., Lo,\u00a0 K.,\u00a0 Cohan, A.: SciBERT: A Pretrained language model for scientific text. 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), Hong Kong, China. pp. 3615\u20133620, Association for Computational Linguistics (2019)","DOI":"10.18653\/v1\/D19-1371"},{"key":"20_CR7","doi-asserted-by":"crossref","unstructured":"Jeong, C., Jang, S., Park, E.,: Choi S.:\u00a0 \u00a0A context-aware citation recommendation model with BERT and graph convolutional networks. Scientometrics 124, 1907\u20131922\u00a0(2020)","DOI":"10.1007\/s11192-020-03561-y"},{"key":"20_CR8","doi-asserted-by":"crossref","unstructured":"Neumann, M., King, D., Beltagy, I.,\u00a0 Ammar, W.:. ScispaCy: fast and robust models for biomedical natural language processing. In: Proceedings of the 18th BioNLP Workshop and Shared Task, pp. 319\u2013327 (2019)","DOI":"10.18653\/v1\/W19-5034"},{"key":"20_CR9","unstructured":"paperswithcode, https:\/\/paperswithcode.com\/sota, Accessed 20 June\u00a0 2025"}],"container-title":["Communications in Computer and Information Science","New Trends in Theory and Practice of Digital Libraries"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-06136-2_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,26]],"date-time":"2025-09-26T18:38:03Z","timestamp":1758911883000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-06136-2_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,27]]},"ISBN":["9783032061355","9783032061362"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-06136-2_20","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,27]]},"assertion":[{"value":"27 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"TPDL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Theory and Practice of Digital Libraries","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tampere","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Finland","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":"23 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 September 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":"tpdl2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/tpdl2025.github.io\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}