{"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-neural-networks-for-web-page-information","title":"Deep Neural Networks for Web Page Information Extraction","arxiv_id":null,"date":"2016-09-01","proceeding":"IFIP International Conference on Artificial Intelligence Applications and Innovations 2016 9","authors":["Tomas Gogar","Hubacek Ondrej","and Jan Sedivy"],"abstract":"Web wrappers are systems for extracting structured information from web pages. Currently, wrappers need to be adapted to a  particular website template before they can start the extraction process. In this work we present a new method, which uses convolutional neural networks to learn a wrapper that can extract information from previously unseen templates. Therefore, this wrapper does not need any site-specific initialization and is able to extract information from a single web page. We also propose a method for spatial text encoding, which allows us to encode visual and textual content of a web page into a single neural net. The first experiments with product information extraction showed very promising results and suggest that this approach can lead to a general site-independent web wrapper.","url_abs":"https://link.springer.com/chapter/10.1007/978-3-319-44944-9_14","url_pdf":"https://link.springer.com/content/pdf/10.1007%2F978-3-319-44944-9_14.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-neural-networks-for-web-page-information","repo_url":"https://github.com/gogartom/TextMaps","is_official":0,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"caffe2","reach":null}],"tasks":[{"task_slug":"webpage-object-detection","task_name":"Webpage Object Detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}