{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/neural-segmental-hypergraphs-for-overlapping","title":"Neural Segmental Hypergraphs for Overlapping Mention Recognition","arxiv_id":"1810.01817","date":"2018-10-03","proceeding":"EMNLP 2018 10","authors":["Bailin Wang","Wei Lu"],"abstract":"In this work, we propose a novel segmental hypergraph representation to model\noverlapping entity mentions that are prevalent in many practical datasets. We\nshow that our model built on top of such a new representation is able to\ncapture features and interactions that cannot be captured by previous models\nwhile maintaining a low time complexity for inference. We also present a\ntheoretical analysis to formally assess how our representation is better than\nalternative representations reported in the literature in terms of\nrepresentational power. Coupled with neural networks for feature learning, our\nmodel achieves the state-of-the-art performance in three benchmark datasets\nannotated with overlapping mentions.","url_abs":"http://arxiv.org/abs/1810.01817v1","url_pdf":"http://arxiv.org/pdf/1810.01817v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"neural-segmental-hypergraphs-for-overlapping","repo_url":"https://github.com/berlino/overlapping-ner-em18","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"named-entity-recognition-ner","task_name":"Named Entity Recognition (NER)"},{"task_slug":"nested-mention-recognition","task_name":"Nested Mention Recognition"},{"task_slug":"nested-named-entity-recognition","task_name":"Nested Named Entity Recognition"},{"task_slug":"overlapping-mention-recognition","task_name":"Overlapping Mention Recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/named-entity-recognition-on-ace-2004","task":"Named Entity Recognition (NER)","dataset":"ACE 2004","model":"Neural segmental hypergraphs","rank_in_archive_order":8,"of":9,"metrics":{"F1":"75.1","Multi-Task Supervision":"n"},"uses_additional_data":false},{"leaderboard":"/sota/named-entity-recognition-on-ace-2005","task":"Named Entity Recognition (NER)","dataset":"ACE 2005","model":"Neural segmental hypergraphs","rank_in_archive_order":18,"of":20,"metrics":{"F1":"74.5"},"uses_additional_data":false},{"leaderboard":"/sota/named-entity-recognition-on-genia","task":"Named Entity Recognition (NER)","dataset":"GENIA","model":"Neural segmental hypergraphs","rank_in_archive_order":9,"of":14,"metrics":{"F1":"75.1"},"uses_additional_data":false},{"leaderboard":"/sota/nested-mention-recognition-on-ace-2004","task":"Nested Mention Recognition","dataset":"ACE 2004","model":"Neural segmental hypergraphs","rank_in_archive_order":6,"of":7,"metrics":{"F1":"75.1"},"uses_additional_data":false},{"leaderboard":"/sota/nested-mention-recognition-on-ace-2005","task":"Nested Mention Recognition","dataset":"ACE 2005","model":"Neural segmental hypergraphs","rank_in_archive_order":8,"of":10,"metrics":{"F1":"74.5"},"uses_additional_data":false},{"leaderboard":"/sota/nested-named-entity-recognition-on-ace-2004","task":"Nested Named Entity Recognition","dataset":"ACE 2004","model":"Neural segmental hypergraphs","rank_in_archive_order":23,"of":24,"metrics":{"F1":"75.1"},"uses_additional_data":false},{"leaderboard":"/sota/nested-named-entity-recognition-on-ace-2005","task":"Nested Named Entity Recognition","dataset":"ACE 2005","model":"Neural segmental hypergraphs","rank_in_archive_order":23,"of":25,"metrics":{"F1":"74.5"},"uses_additional_data":false},{"leaderboard":"/sota/nested-named-entity-recognition-on-genia","task":"Nested Named Entity Recognition","dataset":"GENIA","model":"Neural segmental hypergraphs","rank_in_archive_order":22,"of":26,"metrics":{"F1":"75.1"},"uses_additional_data":false},{"leaderboard":"/sota/nested-named-entity-recognition-on-nne","task":"Nested Named Entity Recognition","dataset":"NNE","model":"Neural Segmental Hypergraphs","rank_in_archive_order":5,"of":6,"metrics":{"Micro F1":"91.4"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1810.01817","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}