{"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/deep-learning-applied-to-nlp","title":"Deep Learning applied to NLP","arxiv_id":"1703.03091","date":"2017-03-09","proceeding":null,"authors":["Marc Moreno Lopez","Jugal Kalita"],"abstract":"Convolutional Neural Network (CNNs) are typically associated with Computer\nVision. CNNs are responsible for major breakthroughs in Image Classification\nand are the core of most Computer Vision systems today. More recently CNNs have\nbeen applied to problems in Natural Language Processing and gotten some\ninteresting results. In this paper, we will try to explain the basics of CNNs,\nits different variations and how they have been applied to NLP.","url_abs":"http://arxiv.org/abs/1703.03091v1","url_pdf":"http://arxiv.org/pdf/1703.03091v1.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":"deep-learning-applied-to-nlp","repo_url":"https://github.com/Rayryu/CNN-based-sentimental-analysis-multiclass-classification","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"deep-learning-applied-to-nlp","repo_url":"https://github.com/linghduoduo/NLP","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"image-classification","task_name":"image-classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1703.03091","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}