{"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/on-the-fly-table-generation","title":"On-the-fly Table Generation","arxiv_id":"1805.04875","date":"2018-05-13","proceeding":null,"authors":["Zhang Shuo","Balog Krisztian"],"abstract":"Many information needs revolve around entities, which would be better\nanswered by summarizing results in a tabular format, rather than presenting\nthem as a ranked list. Unlike previous work, which is limited to retrieving\nexisting tables, we aim to answer queries by automatically compiling a table in\nresponse to a query. We introduce and address the task of on-the-fly table\ngeneration: given a query, generate a relational table that contains relevant\nentities (as rows) along with their key properties (as columns). This problem\nis decomposed into three specific subtasks: (i) core column entity ranking,\n(ii) schema determination, and (iii) value lookup. We employ a feature-based\napproach for entity ranking and schema determination, combining deep semantic\nfeatures with task-specific signals. We further show that these two subtasks\nare not independent of each other and can assist each other in an iterative\nmanner. For value lookup, we combine information from existing tables and a\nknowledge base. Using two sets of entity-oriented queries, we evaluate our\napproach both on the component level and on the end-to-end table generation\ntask.","url_abs":"http://arxiv.org/abs/1805.04875v1","url_pdf":"http://arxiv.org/pdf/1805.04875v1.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":"on-the-fly-table-generation","repo_url":"https://github.com/iai-group/sigir2018-table","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1805.04875","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}