{"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/natural-language-understanding-with","title":"Natural Language Understanding with Distributed Representation","arxiv_id":"1511.07916","date":"2015-11-24","proceeding":null,"authors":["Kyunghyun Cho"],"abstract":"This is a lecture note for the course DS-GA 3001 <Natural Language\nUnderstanding with Distributed Representation> at the Center for Data Science ,\nNew York University in Fall, 2015. As the name of the course suggests, this\nlecture note introduces readers to a neural network based approach to natural\nlanguage understanding/processing. In order to make it as self-contained as\npossible, I spend much time on describing basics of machine learning and neural\nnetworks, only after which how they are used for natural languages is\nintroduced. On the language front, I almost solely focus on language modelling\nand machine translation, two of which I personally find most fascinating and\nmost fundamental to natural language understanding.","url_abs":"http://arxiv.org/abs/1511.07916v1","url_pdf":"http://arxiv.org/pdf/1511.07916v1.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":"natural-language-understanding-with","repo_url":"https://github.com/nyu-dl/NLP_DL_Lecture_Note","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"language-modelling","task_name":"Language Modelling"},{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"natural-language-understanding","task_name":"Natural Language Understanding"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}