{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T12:44:45Z","timestamp":1742993085298,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031171192"},{"type":"electronic","value":"9783031171208"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-17120-8_18","type":"book-chapter","created":{"date-parts":[[2022,9,23]],"date-time":"2022-09-23T13:02:58Z","timestamp":1663938178000},"page":"221-233","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Entity Difference Modeling Based Entity Linking for\u00a0Question Answering over\u00a0Knowledge Graphs"],"prefix":"10.1007","author":[{"given":"Meiling","family":"Wang","sequence":"first","affiliation":[]},{"given":"Min","family":"Li","sequence":"additional","affiliation":[]},{"given":"Kewei","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Zhirong","family":"Hou","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,24]]},"reference":[{"key":"18_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/978-3-030-62419-4_2","volume-title":"The Semantic Web \u2013 ISWC 2020","author":"D Banerjee","year":"2020","unstructured":"Banerjee, D., Chaudhuri, D., Dubey, M., Lehmann, J.: PNEL: pointer network based end-to-end entity linking over knowledge graphs. In: Pan, J.Z., Tamma, V., d\u2019Amato, C., Janowicz, K., Fu, B., Polleres, A., Seneviratne, O., Kagal, L. (eds.) ISWC 2020. LNCS, vol. 12506, pp. 21\u201338. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-62419-4_2"},{"key":"18_CR2","unstructured":"Bordes, A., Usunier, N., Garcia-Dur\u00e1n, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: 26th International Conference on Neural Information Processing Systems, pp. 2787\u20132795 (2013)"},{"key":"18_CR3","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 4171\u20134186 (2019)"},{"issue":"1","key":"18_CR4","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1109\/MS.2011.122","volume":"29","author":"P Ferragina","year":"2011","unstructured":"Ferragina, P., Scaiella, U.: Fast and accurate annotation of short texts with wikipedia pages. IEEE Softw. 29(1), 70\u201375 (2011)","journal-title":"IEEE Softw."},{"key":"18_CR5","doi-asserted-by":"crossref","unstructured":"Gu, Y., et al.: Beyond IID: three levels of generalization for question answering on knowledge bases. In: Web Conference 2021, pp. 3477\u20133488 (2021)","DOI":"10.1145\/3442381.3449992"},{"key":"18_CR6","unstructured":"Johnson, J., Douze, M., J\u00e9gou, H.: Billion-scale similarity search with GPUs. IEEE Transactions on Big Data (2019)"},{"key":"18_CR7","doi-asserted-by":"crossref","unstructured":"Li, B.Z., Min, S., Iyer, S., Mehdad, Y., Yih, W.T.: Efficient one-pass end-to-end entity linking for questions. In: 2020 Conference on Empirical Methods in Natural Language Processing, pp. 6433\u20136441 (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.522"},{"key":"18_CR8","doi-asserted-by":"crossref","unstructured":"Sakor, A., et al.: Old is gold: linguistic driven approach for entity and relation linking of short text. In: 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 2336\u20132346 (2019)","DOI":"10.18653\/v1\/N19-1243"},{"key":"18_CR9","doi-asserted-by":"crossref","unstructured":"Sakor, A., Singh, K., Patel, A., Vidal, M.E.: Falcon 2.0: an entity and relation linking tool over wikidata. In: 29th ACM International Conference on Information & Knowledge Management, pp. 3141\u20133148 (2020)","DOI":"10.1145\/3340531.3412777"},{"key":"18_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2020.100594","volume":"65","author":"K Singh","year":"2020","unstructured":"Singh, K., Lytra, I., Radhakrishna, A.S., Shekarpour, S., Vidal, M.E., Lehmann, J.: No one is perfect: analysing the performance of question answering components over the dbpedia knowledge graph. J. Web Semant. 65, 100594 (2020)","journal-title":"J. Web Semant."},{"key":"18_CR11","doi-asserted-by":"crossref","unstructured":"Singh, K., et al.: Why reinvent the wheel: let\u2019s build question answering systems together. In: 2018 World Wide Web Conference, pp. 1247\u20131256 (2018)","DOI":"10.1145\/3178876.3186023"},{"key":"18_CR12","doi-asserted-by":"crossref","unstructured":"Sorokin, D., Gurevych, I.: Mixing context granularities for improved entity linking on question answering data across entity categories. In: 7th Joint Conference on Lexical and Computational Semantics, pp. 65\u201375 (2018)","DOI":"10.18653\/v1\/S18-2007"},{"key":"18_CR13","doi-asserted-by":"crossref","unstructured":"Su, Y., et al.: On generating characteristic-rich question sets for QA evaluation. In: 2016 Conference on Empirical Methods in Natural Language Processing, pp. 562\u2013572 (2016)","DOI":"10.18653\/v1\/D16-1054"},{"key":"18_CR14","first-page":"2692","volume":"28","author":"O Vinyals","year":"2015","unstructured":"Vinyals, O., Fortunato, M., Jaitly, N.: Pointer networks. Adv. Neural Info. Proc. Syst. 28, 2692\u20132700 (2015)","journal-title":"Adv. Neural Info. Proc. Syst."},{"key":"18_CR15","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: 2020 Conference on Empirical Methods in Natural Language Processing, pp. 6397\u20136407 (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.519"},{"key":"18_CR16","doi-asserted-by":"crossref","unstructured":"Yih, W.T., Richardson, M., Meek, C., Chang, M.W., Suh, J.: The value of semantic parse labeling for knowledge base question answering. In: 54th Annual Meeting of the Association for Computational Linguistics, pp. 201\u2013206 (2016)","DOI":"10.18653\/v1\/P16-2033"}],"container-title":["Lecture Notes in Computer Science","Natural Language Processing and Chinese Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-17120-8_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,23]],"date-time":"2022-09-23T13:05:40Z","timestamp":1663938340000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-17120-8_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031171192","9783031171208"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-17120-8_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"24 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NLPCC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"CCF International Conference on Natural Language Processing and Chinese Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guilin","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nlpcc2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/tcci.ccf.org.cn\/conference\/2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Softconf","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"327","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":"73","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":"22% - 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":"3","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":"1.5","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}