{"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/end-to-end-recurrent-neural-network-models","title":"End-to-end Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-level vs. Character-level","arxiv_id":"1705.04044","date":"2017-05-11","proceeding":null,"authors":["Thai-Hoang Pham","Phuong Le-Hong"],"abstract":"This paper demonstrates end-to-end neural network architectures for\nVietnamese named entity recognition. Our best model is a combination of\nbidirectional Long Short-Term Memory (Bi-LSTM), Convolutional Neural Network\n(CNN), Conditional Random Field (CRF), using pre-trained word embeddings as\ninput, which achieves an F1 score of 88.59% on a standard test set. Our system\nis able to achieve a comparable performance to the first-rank system of the\nVLSP campaign without using any syntactic or hand-crafted features. We also\ngive an extensive empirical study on using common deep learning models for\nVietnamese NER, at both word and character level.","url_abs":"http://arxiv.org/abs/1705.04044v3","url_pdf":"http://arxiv.org/pdf/1705.04044v3.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":"end-to-end-recurrent-neural-network-models","repo_url":"https://github.com/pth1993/NNVLP","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":"word-embeddings","task_name":"Word Embeddings"},{"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}