{"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/playing-by-the-book-towards-agent-based","title":"Playing by the Book: An Interactive Game Approach for Action Graph Extraction from Text","arxiv_id":"1811.04319","date":"2018-11-10","proceeding":"WS 2019 6","authors":["Ronen Tamari","Hiroyuki Shindo","Dafna Shahaf","Yuji Matsumoto"],"abstract":"Understanding procedural text requires tracking entities, actions and effects\nas the narrative unfolds. We focus on the challenging real-world problem of\naction-graph extraction from material science papers, where language is highly\nspecialized and data annotation is expensive and scarce. We propose a novel\napproach, Text2Quest, where procedural text is interpreted as instructions for\nan interactive game. A learning agent completes the game by executing the\nprocedure correctly in a text-based simulated lab environment. The framework\ncan complement existing approaches and enables richer forms of learning\ncompared to static texts. We discuss potential limitations and advantages of\nthe approach, and release a prototype proof-of-concept, hoping to encourage\nresearch in this direction.","url_abs":"http://arxiv.org/abs/1811.04319v3","url_pdf":"http://arxiv.org/pdf/1811.04319v3.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":"playing-by-the-book-towards-agent-based","repo_url":"https://github.com/ronentk/TextLabs","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1811.04319","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}