{"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/fusing-heterogeneous-factors-with-triaffine","title":"Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition","arxiv_id":"2110.07480","date":"2021-10-14","proceeding":"Findings (ACL) 2022 5","authors":["Zheng Yuan","Chuanqi Tan","Songfang Huang","Fei Huang"],"abstract":"Nested entities are observed in many domains due to their compositionality, which cannot be easily recognized by the widely-used sequence labeling framework. A natural solution is to treat the task as a span classification problem. To learn better span representation and increase classification performance, it is crucial to effectively integrate heterogeneous factors including inside tokens, boundaries, labels, and related spans which could be contributing to nested entities recognition. To fuse these heterogeneous factors, we propose a novel triaffine mechanism including triaffine attention and scoring. Triaffine attention uses boundaries and labels as queries and uses inside tokens and related spans as keys and values for span representations. Triaffine scoring interacts with boundaries and span representations for classification. Experiments show that our proposed method outperforms previous span-based methods, achieves the state-of-the-art $F_1$ scores on nested NER datasets GENIA and KBP2017, and shows comparable results on ACE2004 and ACE2005.","url_abs":"https://arxiv.org/abs/2110.07480v3","url_pdf":"https://arxiv.org/pdf/2110.07480v3.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":"fusing-heterogeneous-factors-with-triaffine","repo_url":"https://github.com/GanjinZero/Triaffine-nested-ner","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"cg","task_name":"NER"},{"task_slug":"named-entity-recognition-1","task_name":"Named Entity Recognition"},{"task_slug":"named-entity-recognition-ner","task_name":"Named Entity Recognition (NER)"},{"task_slug":"nested-named-entity-recognition","task_name":"Nested Named Entity Recognition"},{"task_slug":"named-entity-recognition","task_name":"named-entity-recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/nested-named-entity-recognition-on-ace-2004","task":"Nested Named Entity Recognition","dataset":"ACE 2004","model":"Triaffine + ALBERT","rank_in_archive_order":3,"of":24,"metrics":{"F1":"88.56"},"uses_additional_data":false},{"leaderboard":"/sota/nested-named-entity-recognition-on-ace-2004","task":"Nested Named Entity Recognition","dataset":"ACE 2004","model":"Triaffine + BioBERT","rank_in_archive_order":12,"of":24,"metrics":{"F1":"87.40"},"uses_additional_data":false},{"leaderboard":"/sota/nested-named-entity-recognition-on-ace-2005","task":"Nested Named Entity Recognition","dataset":"ACE 2005","model":"Triaffine + ALBERT","rank_in_archive_order":2,"of":25,"metrics":{"F1":"88.83"},"uses_additional_data":false},{"leaderboard":"/sota/nested-named-entity-recognition-on-ace-2005","task":"Nested Named Entity Recognition","dataset":"ACE 2005","model":"Triaffine + BERT","rank_in_archive_order":7,"of":25,"metrics":{"F1":"86.82"},"uses_additional_data":false},{"leaderboard":"/sota/nested-named-entity-recognition-on-genia","task":"Nested Named Entity Recognition","dataset":"GENIA","model":"Triaffine + BioBERT","rank_in_archive_order":5,"of":26,"metrics":{"F1":"81.23"},"uses_additional_data":false},{"leaderboard":"/sota/nested-named-entity-recognition-on-tac-kbp","task":"Nested Named Entity Recognition","dataset":"TAC-KBP 2017","model":"Triaffine + ALBERT","rank_in_archive_order":1,"of":3,"metrics":{"F1":"87.27"},"uses_additional_data":false},{"leaderboard":"/sota/nested-named-entity-recognition-on-tac-kbp","task":"Nested Named Entity Recognition","dataset":"TAC-KBP 2017","model":"Triaffine + BERT","rank_in_archive_order":2,"of":3,"metrics":{"F1":"85.05"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2110.07480","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}