{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:32:32Z","timestamp":1763191952874,"version":"3.45.0"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11228550","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["ReNIE: Semantic Retrieval and Negative Instances Augmented Information Extraction"],"prefix":"10.1109","author":[{"given":"Haoran","family":"Tu","sequence":"first","affiliation":[{"name":"Guangzhou University,School of Computer Science and Cyber Engineering,Guangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuo","family":"Yang","sequence":"additional","affiliation":[{"name":"Guangzhou University,School of Computer Science and Cyber Engineering,Guangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianman","family":"Tan","sequence":"additional","affiliation":[{"name":"Guangzhou University,School of Computer Science and Cyber Engineering,Guangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-024-40555-y"},{"article-title":"Gollie: Annotation guidelines improve zero-shot information-extraction","year":"2023","author":"Sainz","key":"ref2"},{"article-title":"Instructuie: multi-task instruction tuning for unified information extraction","year":"2023","author":"Wang","key":"ref3"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2023.emnlp-main.214","article-title":"Gpt-re: In-context learning for relation extraction using large language models","author":"Wan","year":"2023"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.855"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.206"},{"key":"ref7","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2024.findings-emnlp.590","article-title":"C-icl: Contrastive in-context learning for information extraction","author":"Mo","year":"2024"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.202"},{"key":"ref9","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2022.deelio-1.10","article-title":"What makes good in-context examples for gpt-3?","volume-title":"Workshop on Knowledge Extraction and Integration for Deep Learning Architectures; Deep Learning Inside Out","author":"Liu"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.552"},{"key":"ref11","first-page":"100","article-title":"What makes good in-context examples for GPT-3?","volume-title":"Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures","author":"Liu"},{"key":"ref12","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","volume-title":"North American Chapter of the Association for Computational Linguistics","author":"Devlin","year":"2019"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.395"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i11.26563"},{"article-title":"Ace 2005 multilingua corpus-linguistic data consortium","year":"2005","author":"Walker","key":"ref15"},{"key":"ref16","article-title":"Assessing the state of the art in biomedical relation extraction: overview of the biocreative v chemical-disease relation (cdr) task","volume-title":"Database: The Journal of Biological Databases and Curation","volume":"2016","author":"Wei","year":"2016"},{"article-title":"Introduction to the conll-2003 shared task: Language-independent named entity recognition","volume-title":"Conference on Computational Natural Language Learning","author":"Sang","key":"ref17"},{"key":"ref18","article-title":"A hybrid bi-lstm-crf model to recognition of disabilities from biomedical texts","volume-title":"IberEval@SEPLN","author":"Zavala","year":"2018"},{"key":"ref19","article-title":"An improved corpus of disease mentions in pubmed citations","volume-title":"BioNLP@HLT-NAACL","author":"Dogan","year":"2012"},{"article-title":"Towards robust linguistic analysis using ontonotes","volume-title":"Conference on Computational Natural Language Learning","author":"Pradhan","key":"ref20"},{"article-title":"Multi-sentence argument linking","year":"2019","author":"Ebner","key":"ref21"},{"key":"ref22","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/W17-4418","article-title":"Results of the wnut2017 shared task on novel and emerging entity recognition","volume-title":"NUT@EMNLP","author":"Derczynski","year":"2017"},{"article-title":"Broad twitter corpus: A diverse named entity recognition resource","volume-title":"International Conference on Computational Linguistics","author":"Derczynski","key":"ref23"},{"key":"ref24","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v34i05.6401","article-title":"Casie: Extracting cybersecurity event information from text","volume-title":"AAAI Conference on Artificial Intelligence","author":"Satyapanich"},{"key":"ref25","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v35i15.17587","article-title":"Crossner: Evaluating cross-domain named entity recognition","volume-title":"AAAI Conference on Artificial Intelligence","author":"Liu"},{"key":"ref26","first-page":"2393","article-title":"\"fabner\u201d: information extraction from manufacturing process science domain literature using named entity recognition","volume-title":"Journal of Intelligent Manufacturing","volume":"33","author":"Kumar","year":"2021"},{"key":"ref27","first-page":"4803","article-title":"FewRel: A large-scale supervised few-shot relation classification dataset with state-of-the-art evaluation","volume-title":"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing","author":"Han"},{"key":"ref28","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2022.naacl-main.243","article-title":"Crossroads, buildings and neighborhoods: A dataset for fine-grained location recognition","volume-title":"North American Chapter of the Association for Computational Linguistics","author":"Chen","year":"2022"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"8386","DOI":"10.1109\/ICASSP.2013.6639301","article-title":"Asgard: A portable architecture for multilingual dialogue systems","volume-title":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","author":"Liu","year":"2013"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-06455-0"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2025,6,30]]},"location":"Rome, Italy","end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11228550.pdf?arnumber=11228550","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:27:31Z","timestamp":1763191651000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11228550\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11228550","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}