{"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-generation-from-abstract","title":"Transition-Based Generation from Abstract Meaning Representations","arxiv_id":"1707.07591","date":"2017-07-24","proceeding":null,"authors":["Timo Schick"],"abstract":"This work addresses the task of generating English sentences from Abstract\nMeaning Representation (AMR) graphs. To cope with this task, we transform each\ninput AMR graph into a structure similar to a dependency tree and annotate it\nwith syntactic information by applying various predefined actions to it.\nSubsequently, a sentence is obtained from this tree structure by visiting its\nnodes in a specific order. We train maximum entropy models to estimate the\nprobability of each individual action and devise an algorithm that efficiently\napproximates the best sequence of actions to be applied. Using a substandard\nlanguage model, our generator achieves a Bleu score of 27.4 on the LDC2014T12\ntest set, the best result reported so far without using silver standard\nannotations from another corpus as additional training data.","url_abs":"http://arxiv.org/abs/1707.07591v1","url_pdf":"http://arxiv.org/pdf/1707.07591v1.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":"transition-based-generation-from-abstract","repo_url":"https://github.com/timoschick/amr-gen","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"abstract-meaning-representation","task_name":"Abstract Meaning Representation"},{"task_slug":"language-modeling","task_name":"Language Modeling"},{"task_slug":"language-modelling","task_name":"Language Modelling"},{"task_slug":"sentence","task_name":"Sentence"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}