{"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/transition-based-drs-parsing-using-stack","title":"Transition-based DRS Parsing Using Stack-LSTMs","arxiv_id":null,"date":"2019-05-01","proceeding":"WS 2019 5","authors":["Kilian Evang"],"abstract":"We present our submission to the IWCS 2019 shared task on semantic parsing, a transition-based parser that uses explicit word-meaning pairings, but no explicit representation of syntax. Parsing decisions are made based on vector representations of parser states, encoded via stack-LSTMs (Ballesteros et al., 2017), as well as some heuristic rules. Our system reaches 70.88{\\%} f-score in the competition.","url_abs":"https://aclanthology.org/W19-1202","url_pdf":"https://aclanthology.org/W19-1202.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":[],"tasks":[{"task_slug":"drs-parsing","task_name":"DRS Parsing"},{"task_slug":"semantic-parsing","task_name":"Semantic Parsing"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/drs-parsing-on-pmb-2-2-0","task":"DRS Parsing","dataset":"PMB-2.2.0","model":"Transition-based Stack-LSTM","rank_in_archive_order":6,"of":6,"metrics":{"F1":"74.4"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}