{"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/named-entity-recognition-for-entity-linking","title":"Named Entity Recognition for Entity Linking: What Works and What’s Next","arxiv_id":null,"date":"2021-11-01","proceeding":"Findings (EMNLP) 2021 11","authors":["Simone Tedeschi","Simone Conia","Francesco Cecconi","Roberto Navigli"],"abstract":"Entity Linking (EL) systems have achieved impressive results on standard benchmarks mainly thanks to the contextualized representations provided by recent pretrained language models. However, such systems still require massive amounts of data – millions of labeled examples – to perform at their best, with training times that often exceed several days, especially when limited computational resources are available. In this paper, we look at how Named Entity Recognition (NER) can be exploited to narrow the gap between EL systems trained on high and low amounts of labeled data. More specifically, we show how and to what extent an EL system can benefit from NER to enhance its entity representations, improve candidate selection, select more effective negative samples and enforce hard and soft constraints on its output entities. We release our software – code and model checkpoints – at https://github.com/Babelscape/ner4el.","url_abs":"https://aclanthology.org/2021.findings-emnlp.220","url_pdf":"https://aclanthology.org/2021.findings-emnlp.220.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":"named-entity-recognition-for-entity-linking","repo_url":"https://github.com/babelscape/ner4el","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[{"task_slug":"entity-disambiguation","task_name":"Entity Disambiguation"},{"task_slug":"entity-linking","task_name":"Entity Linking"},{"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":"named-entity-recognition","task_name":"named-entity-recognition"}],"methods":[{"method_slug":"transformer","method_name":"Transformer"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/entity-disambiguation-on-ace2004","task":"Entity Disambiguation","dataset":"ACE2004","model":"NER4EL","rank_in_archive_order":4,"of":6,"metrics":{"Micro-F1":"91.3"},"uses_additional_data":false},{"leaderboard":"/sota/entity-disambiguation-on-aida-conll","task":"Entity Disambiguation","dataset":"AIDA-CoNLL","model":"NER4EL","rank_in_archive_order":13,"of":20,"metrics":{"In-KB Accuracy":"92.5"},"uses_additional_data":false},{"leaderboard":"/sota/entity-disambiguation-on-aquaint","task":"Entity Disambiguation","dataset":"AQUAINT","model":"NER4EL","rank_in_archive_order":6,"of":6,"metrics":{"Micro-F1":"69.5"},"uses_additional_data":false},{"leaderboard":"/sota/entity-disambiguation-on-msnbc","task":"Entity Disambiguation","dataset":"MSNBC","model":"NER4EL","rank_in_archive_order":6,"of":6,"metrics":{"Micro-F1":"89.2"},"uses_additional_data":false},{"leaderboard":"/sota/entity-disambiguation-on-wned-cweb","task":"Entity Disambiguation","dataset":"WNED-CWEB","model":"NER4EL","rank_in_archive_order":7,"of":7,"metrics":{"Micro-F1":"68.5"},"uses_additional_data":false},{"leaderboard":"/sota/entity-disambiguation-on-wned-wiki","task":"Entity Disambiguation","dataset":"WNED-WIKI","model":"NER4EL","rank_in_archive_order":7,"of":7,"metrics":{"Micro-F1":"64.0"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}