{"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/towards-deep-learning-in-hindi-ner-an","title":"Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Scarcity","arxiv_id":"1610.09756","date":"2016-10-31","proceeding":null,"authors":["Vinayak Athavale","Shreenivas Bharadwaj","Monik Pamecha","Ameya Prabhu","Manish Shrivastava"],"abstract":"In this paper we describe an end to end Neural Model for Named Entity\nRecognition NER) which is based on Bi-Directional RNN-LSTM. Almost all NER\nsystems for Hindi use Language Specific features and handcrafted rules with\ngazetteers. Our model is language independent and uses no domain specific\nfeatures or any handcrafted rules. Our models rely on semantic information in\nthe form of word vectors which are learnt by an unsupervised learning algorithm\non an unannotated corpus. Our model attained state of the art performance in\nboth English and Hindi without the use of any morphological analysis or without\nusing gazetteers of any sort.","url_abs":"http://arxiv.org/abs/1610.09756v2","url_pdf":"http://arxiv.org/pdf/1610.09756v2.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":"towards-deep-learning-in-hindi-ner-an","repo_url":"https://github.com/monikkinom/ner-lstm","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"towards-deep-learning-in-hindi-ner-an","repo_url":"https://github.com/shreyanse081/Hindi_NER_monikkinom","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"morphological-analysis","task_name":"Morphological Analysis"},{"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":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}