{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T14:10:04Z","timestamp":1767449404776,"version":"3.48.0"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819534524"},{"type":"electronic","value":"9789819534531"}],"license":[{"start":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T00:00:00Z","timestamp":1760572800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T00:00:00Z","timestamp":1760572800000},"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\/978-981-95-3453-1_30","type":"book-chapter","created":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T08:00:37Z","timestamp":1760515237000},"page":"410-417","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Harnessing Deep LLM Participation for\u00a0Robust Entity Linking"],"prefix":"10.1007","author":[{"given":"Jiajun","family":"Hou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenyu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,10,16]]},"reference":[{"key":"30_CR1","doi-asserted-by":"crossref","unstructured":"Ayoola, T., Tyagi, S., Fisher, J., Christodoulopoulos, C., Pierleoni, A.: Refined: an efficient zero-shot-capable approach to end-to-end entity linking. In: NAACL-HLT (Industry Papers), pp. 209\u2013220. ACL (2022)","DOI":"10.18653\/v1\/2022.naacl-industry.24"},{"key":"30_CR2","doi-asserted-by":"crossref","unstructured":"Babych, B., Hartley, A.: Improving machine translation quality with automatic named entity recognition. In: Proceedings of the 7th International EAMT Workshop on MT and Other Language Technology Tools, Improving MT through Other Language Technology Tools: Resources and Tools for Building MT, EAMT 2003, Pp. 1\u20138. ACL, USA (2003)","DOI":"10.3115\/1609822.1609823"},{"key":"30_CR3","unstructured":"Cao, N.D., Izacard, G., Riedel, S., Petroni, F.: Autoregressive entity retrieval. In: ICLR, OpenReview.net (2021)"},{"key":"30_CR4","unstructured":"Cucerzan, S.: Large-scale named entity disambiguation based on wikipedia data. In: EMNLP-CoNLL, pp. 708\u2013716. ACL (2007)"},{"issue":"2","key":"30_CR5","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.ipm.2014.10.006","volume":"51","author":"L Derczynski","year":"2015","unstructured":"Derczynski, L., et al.: Analysis of named entity recognition and linking for tweets. Inf. Process. Manag. 51(2), 32\u201349 (2015)","journal-title":"Inf. Process. Manag."},{"key":"30_CR6","unstructured":"Ding, Y., Zeng, Q., Weninger, T.: Chatel: entity linking with chatbots. In: LREC\/COLING, pp. 3086\u20133097. ELRA and ICCL (2024)"},{"key":"30_CR7","doi-asserted-by":"publisher","first-page":"76581","DOI":"10.1109\/ACCESS.2023.3295776","volume":"11","author":"KA Hambarde","year":"2023","unstructured":"Hambarde, K.A., Proen\u00e7a, H.: Information retrieval: recent advances and beyond. IEEE Access 11, 76581\u201376604 (2023)","journal-title":"IEEE Access"},{"key":"30_CR8","doi-asserted-by":"crossref","unstructured":"Hoffart, J., Seufert, S., Nguyen, D.B., Theobald, M., Weikum, G.: KORE: keyphrase overlap relatedness for entity disambiguation. In: CIKM, pp. 545\u2013554. ACM (2012)","DOI":"10.1145\/2396761.2396832"},{"key":"30_CR9","unstructured":"Hoffart, J., et al.: Robust disambiguation of named entities in text. In: EMNLP, pp. 782\u2013792. ACL (2011)"},{"key":"30_CR10","doi-asserted-by":"crossref","unstructured":"van Hulst, J.M., Hasibi, F., Dercksen, K., Balog, K., de\u00a0Vries, A.P.: REL: an entity linker standing on the shoulders of giants. In: SIGIR, pp. 2197\u20132200. ACM (2020)","DOI":"10.1145\/3397271.3401416"},{"key":"30_CR11","doi-asserted-by":"crossref","unstructured":"Milne, D.N., Witten, I.H.: Learning to link with wikipedia. In: CIKM, pp. 509\u2013518. ACM (2008)","DOI":"10.1145\/1458082.1458150"},{"key":"30_CR12","doi-asserted-by":"crossref","unstructured":"Nuzzolese, A.G., Gentile, A.L., Presutti, V., Gangemi, A., Garigliotti, D., Navigli, R.: Open knowledge extraction challenge. In: SemWebEval@ESWC. Communications in Computer and Information Science, vol.\u00a0548, pp. 3\u201315. Springer (2015)","DOI":"10.1007\/978-3-319-25518-7_1"},{"key":"30_CR13","doi-asserted-by":"crossref","unstructured":"Pan, X., Sun, K., Yu, D., Chen, J., Ji, H., Cardie, C., Yu, D.: Improving question answering with external knowledge. In: MRQA@EMNLP, pp. 27\u201337. ACL (2019)","DOI":"10.18653\/v1\/D19-5804"},{"key":"30_CR14","unstructured":"Ratinov, L., Roth, D., Downey, D., Anderson, M.: Local and global algorithms for disambiguation to wikipedia. In: ACL, pp. 1375\u20131384. ACL (2011)"},{"key":"30_CR15","unstructured":"R\u00f6der, M., Usbeck, R., Hellmann, S., Gerber, D., Both, A.: N$${^3}$$ - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format. In: LREC, pp. 3529\u20133533. European Language Resources Association (ELRA) (2014)"},{"key":"30_CR16","doi-asserted-by":"crossref","unstructured":"Wu, L., Petroni, F., Josifoski, M., Riedel, S., Zettlemoyer, L.: Scalable zero-shot entity linking with dense entity retrieval. In: EMNLP, no. 1, pp. 6397\u20136407. ACL (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.519"},{"key":"30_CR17","unstructured":"Xin, A., et al.: LLMAEL: large language models are good context augmenters for entity linking. CoRR abs\/2407.04020 (2024)"}],"container-title":["Lecture Notes in Computer Science","Advanced Data Mining and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-3453-1_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T14:07:04Z","timestamp":1767449224000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-3453-1_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,16]]},"ISBN":["9789819534524","9789819534531"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-3453-1_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,10,16]]},"assertion":[{"value":"16 October 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADMA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Data Mining and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kyoto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","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":"22 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adma2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/adma2025.github.io\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}