{"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/mapping-natural-language-commands-to-web","title":"Mapping Natural Language Commands to Web Elements","arxiv_id":"1808.09132","date":"2018-08-28","proceeding":"EMNLP 2018 10","authors":["Panupong Pasupat","Tian-Shun Jiang","Evan Zheran Liu","Kelvin Guu","Percy Liang"],"abstract":"The web provides a rich, open-domain environment with textual, structural,\nand spatial properties. We propose a new task for grounding language in this\nenvironment: given a natural language command (e.g., \"click on the second\narticle\"), choose the correct element on the web page (e.g., a hyperlink or\ntext box). We collected a dataset of over 50,000 commands that capture various\nphenomena such as functional references (e.g. \"find who made this site\"),\nrelational reasoning (e.g. \"article by john\"), and visual reasoning (e.g.\n\"top-most article\"). We also implemented and analyzed three baseline models\nthat capture different phenomena present in the dataset.","url_abs":"http://arxiv.org/abs/1808.09132v2","url_pdf":"http://arxiv.org/pdf/1808.09132v2.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":"mapping-natural-language-commands-to-web","repo_url":"https://github.com/stanfordnlp/phrasenode","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"mapping-natural-language-commands-to-web","repo_url":"https://worksheets.codalab.org/worksheets/0x0097f249cd944284a81af331093c3579","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"relational-reasoning","task_name":"Relational Reasoning"},{"task_slug":"visual-reasoning","task_name":"Visual Reasoning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1808.09132","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}