{"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/a-feature-based-model-for-nested-named-entity","title":"A Feature-Based Model for Nested Named-Entity Recognition at VLSP-2018 NER Evaluation Campaign","arxiv_id":"1803.08463","date":"2018-03-22","proceeding":null,"authors":["Pham Quang Nhat Minh"],"abstract":"In this report, we describe our participant named-entity recognition system\nat VLSP 2018 evaluation campaign. We formalized the task as a sequence labeling\nproblem using BIO encoding scheme. We applied a feature-based model which\ncombines word, word-shape features, Brown-cluster-based features, and\nword-embedding-based features. We compare several methods to deal with nested\nentities in the dataset. We showed that combining tags of entities at all\nlevels for training a sequence labeling model (joint-tag model) improved the\naccuracy of nested named-entity recognition.","url_abs":"http://arxiv.org/abs/1803.08463v1","url_pdf":"http://arxiv.org/pdf/1803.08463v1.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":"a-feature-based-model-for-nested-named-entity","repo_url":"https://github.com/minhpqn/vietner","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"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":"tag","task_name":"TAG"},{"task_slug":"named-entity-recognition","task_name":"named-entity-recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}