{"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/a-primer-on-neural-network-models-for-natural","title":"A Primer on Neural Network Models for Natural Language Processing","arxiv_id":"1510.00726","date":"2015-10-02","proceeding":null,"authors":["Yoav Goldberg"],"abstract":"Over the past few years, neural networks have re-emerged as powerful\nmachine-learning models, yielding state-of-the-art results in fields such as\nimage recognition and speech processing. More recently, neural network models\nstarted to be applied also to textual natural language signals, again with very\npromising results. This tutorial surveys neural network models from the\nperspective of natural language processing research, in an attempt to bring\nnatural-language researchers up to speed with the neural techniques. The\ntutorial covers input encoding for natural language tasks, feed-forward\nnetworks, convolutional networks, recurrent networks and recursive networks, as\nwell as the computation graph abstraction for automatic gradient computation.","url_abs":"http://arxiv.org/abs/1510.00726v1","url_pdf":"http://arxiv.org/pdf/1510.00726v1.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":"a-primer-on-neural-network-models-for-natural","repo_url":"https://github.com/bplank/teaching-dl4nlp","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"}],"methods":[{"method_slug":"speed","method_name":"SPEED"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1510.00726","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}