{"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/vncorenlp-a-vietnamese-natural-language","title":"VnCoreNLP: A Vietnamese Natural Language Processing Toolkit","arxiv_id":"1801.01331","date":"2018-01-04","proceeding":"NAACL 2018 6","authors":["Thanh Vu","Dat Quoc Nguyen","Dai Quoc Nguyen","Mark Dras","Mark Johnson"],"abstract":"We present an easy-to-use and fast toolkit, namely VnCoreNLP---a Java NLP\nannotation pipeline for Vietnamese. Our VnCoreNLP supports key natural language\nprocessing (NLP) tasks including word segmentation, part-of-speech (POS)\ntagging, named entity recognition (NER) and dependency parsing, and obtains\nstate-of-the-art (SOTA) results for these tasks. We release VnCoreNLP to\nprovide rich linguistic annotations to facilitate research work on Vietnamese\nNLP. Our VnCoreNLP is open-source and available at:\nhttps://github.com/vncorenlp/VnCoreNLP","url_abs":"http://arxiv.org/abs/1801.01331v2","url_pdf":"http://arxiv.org/pdf/1801.01331v2.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":"vncorenlp-a-vietnamese-natural-language","repo_url":"https://github.com/sonvx/word2vecVN","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null},{"paper_slug":"vncorenlp-a-vietnamese-natural-language","repo_url":"https://github.com/vncorenlp/VnCoreNLP","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"dependency-parsing","task_name":"Dependency Parsing"},{"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":"pos","task_name":"POS"},{"task_slug":"pos-tagging","task_name":"POS Tagging"},{"task_slug":"part-of-speech-tagging","task_name":"Part-Of-Speech Tagging"},{"task_slug":"question-answering","task_name":"Question Answering"},{"task_slug":"named-entity-recognition","task_name":"named-entity-recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1801.01331","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}