{"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-processing-almost-from","title":"Natural Language Processing (almost) from Scratch","arxiv_id":"1103.0398","date":"2011-03-02","proceeding":null,"authors":["Ronan Collobert","Jason Weston","Leon Bottou","Michael Karlen","Koray Kavukcuoglu","Pavel Kuksa"],"abstract":"We propose a unified neural network architecture and learning algorithm that\ncan be applied to various natural language processing tasks including:\npart-of-speech tagging, chunking, named entity recognition, and semantic role\nlabeling. This versatility is achieved by trying to avoid task-specific\nengineering and therefore disregarding a lot of prior knowledge. Instead of\nexploiting man-made input features carefully optimized for each task, our\nsystem learns internal representations on the basis of vast amounts of mostly\nunlabeled training data. This work is then used as a basis for building a\nfreely available tagging system with good performance and minimal computational\nrequirements.","url_abs":"http://arxiv.org/abs/1103.0398v1","url_pdf":"http://arxiv.org/pdf/1103.0398v1.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-processing-almost-from","repo_url":"https://github.com/faramarzmunshi/d2l-nlp","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"natural-language-processing-almost-from","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":"chunking","task_name":"Chunking"},{"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":"part-of-speech-tagging","task_name":"Part-Of-Speech Tagging"},{"task_slug":"semantic-role-labeling","task_name":"Semantic Role Labeling"},{"task_slug":"named-entity-recognition","task_name":"named-entity-recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1103.0398","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}