{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T16:02:56Z","timestamp":1758124976467,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T00:00:00Z","timestamp":1720569600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,7,10]]},"DOI":"10.1145\/3626772.3657666","type":"proceedings-article","created":{"date-parts":[[2024,7,11]],"date-time":"2024-07-11T12:40:05Z","timestamp":1720701605000},"page":"2796-2800","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Shadowfax: Harnessing Textual Knowledge Base Population"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-7703-5336","authenticated-orcid":false,"given":"Maxime","family":"Prieur","sequence":"first","affiliation":[{"name":"Conservatoire national des arts et m\u00e9tiers, Paris, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5170-4954","authenticated-orcid":false,"given":"C\u00e9dric","family":"Du Mouza","sequence":"additional","affiliation":[{"name":"Conservatoire national des arts et m\u00e9tiers, Paris, France"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3238-4275","authenticated-orcid":false,"given":"Guillaume","family":"Gadek","sequence":"additional","affiliation":[{"name":"Airbus Defence and Space, \u00c9lancourt, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0800-2265","authenticated-orcid":false,"given":"Bruno","family":"Grilheres","sequence":"additional","affiliation":[{"name":"Airbus Defence and Space, \u00c9lancourt, France"}]}],"member":"320","published-online":{"date-parts":[[2024,7,11]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-4010"},{"key":"e_1_3_2_1_2_1","first-page":"19","volume-title":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Anna Korhonen, David Traum, and Llu\u00eds M\u00e0rquez (Eds.). Association for Computational Linguistics","author":"Soares Livio Baldini","year":"2019","unstructured":"Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, and Tom Kwiatkowski. 2019. Matching the Blanks: Distributional Similarity for Relation Learning. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Anna Korhonen, David Traum, and Llu\u00eds M\u00e0rquez (Eds.). Association for Computational Linguistics, Florence, Italy, 2895--2905. https:\/\/doi.org\/10. 18653\/v1\/P19-1279"},{"key":"e_1_3_2_1_3_1","volume-title":"8th International Conference on Learning Representations, ICLR 2020","author":"Clark Kevin","year":"2020","unstructured":"Kevin Clark, Minh-Thang Luong, Quoc V. Le, and Christopher D. Manning. 2020. ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020. https:\/\/openreview.net\/forum?id=r1xMH1BtvB"},{"key":"e_1_3_2_1_4_1","volume-title":"Carlos-Emiliano Gonz\u00e1lez-Gallardo, Georgeta Bordea, Nicolas Sidere, and Antoine Doucet.","author":"Delaunay Julien","year":"2023","unstructured":"Julien Delaunay, Hanh Thi Hong Tran, Carlos-Emiliano Gonz\u00e1lez-Gallardo, Georgeta Bordea, Nicolas Sidere, and Antoine Doucet. 2023. A Comprehensive Survey of Document-level Relation Extraction (2016--2023). arXiv:2309.16396 [cs.CL]"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/n19-1423"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.605"},{"key":"e_1_3_2_1_7_1","unstructured":"Paul Gu\u00e9lorget. 2022. Active learning for the detection of objects of operational interest in open-source multimedia content. (Apprentissage actif pour la d\u00e9tection d'objets d'int\u00e9r\u00eat op\u00e9rationnel dans les contenus multim\u00e9dias). Ph. D. Dissertation. Polytechnic Institute of Paris Palaiseau France. https:\/\/tel.archives-ouvertes.fr\/ tel-03947344"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/k18-1050"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.14778\/3421424.3421431"},{"key":"e_1_3_2_1_11_1","unstructured":"Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer and Veselin Stoyanov. 2019. RoBERTa: A Robustly Optimized BERT Pretraining Approach. arXiv:1907.11692 [cs.CL]"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1069"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p16-1060"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.5220\/0011726000003393"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-industry.49"},{"key":"e_1_3_2_1_16_1","unstructured":"Horacio Saggion Adam Funk Diana Maynard and Kalina Bontcheva. 2007. Ontology-Based Information Extraction for Business Intelligence. In The Semantic Web Karl Aberer Key-Sun Choi Natasha Noy Dean Allemang Kyung-Il Lee Lyndon Nixon Jennifer Golbeck Peter Mika Diana Maynard Riichiro Mizoguchi Guus Schreiber and Philippe Cudr\u00e9-Mauroux (Eds.). Springer Berlin Heidelberg Berlin Heidelberg 843--856."},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of the Seventh Conference on Natural Language Learning, CoNLL 2003","author":"Erik","year":"2003","unstructured":"Erik F. Tjong Kim Sang and Fien De Meulder. 2003. Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition. In Proceedings of the Seventh Conference on Natural Language Learning, CoNLL 2003, Held in cooperation with HLT-NAACL 2003, Edmonton, Canada, May 31 - June 1, 2003. 142--147. https:\/\/aclanthology.org\/W03-0419\/"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-emnlp.297"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.580"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.580"},{"key":"e_1_3_2_1_21_1","volume-title":"Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA. 5998--6008. https:\/\/proceedings.neurips.cc\/paper\/2017\/hash\/ 3f5ee243547dee91fbd053c1c4a845aa-Abstract.html"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482008"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.519"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2022.05.014"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.523"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1074"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.577"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm"},{"key":"e_1_3_2_1_29_1","volume-title":"Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations","author":"Zhang Ningyu","year":"1865","unstructured":"Ningyu Zhang, Xin Xu, Liankuan Tao, Haiyang Yu, Hongbin Ye, Shuofei Qiao, Xin Xie, Xiang Chen, Zhoubo Li, and Lei Li. 2022. DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Wanxiang Che and Ekaterina Shutova (Eds.). Association for Computational Linguistics, Abu Dhabi, UAE, 98--108. https:\/\/doi.org\/10.18653\/ v1\/2022.emnlp-demos.10"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1609\/AAAI.V35I16.17717"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Enwei Zhu Yiyang Liu and Jinpeng Li. 2023. Deep Span Representations for Named Entity Recognition. arXiv:2210.04182 [cs.CL]","DOI":"10.18653\/v1\/2023.findings-acl.672"}],"event":{"name":"SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Washington DC USA","acronym":"SIGIR 2024"},"container-title":["Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3626772.3657666","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3626772.3657666","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T05:40:45Z","timestamp":1755841245000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3626772.3657666"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,10]]},"references-count":31,"alternative-id":["10.1145\/3626772.3657666","10.1145\/3626772"],"URL":"https:\/\/doi.org\/10.1145\/3626772.3657666","relation":{},"subject":[],"published":{"date-parts":[[2024,7,10]]},"assertion":[{"value":"2024-07-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}