{"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/neural-machine-translation-for-query","title":"Neural Machine Translation for Query Construction and Composition","arxiv_id":"1806.10478","date":"2018-06-27","proceeding":null,"authors":["Tommaso Soru","Edgard Marx","André Valdestilhas","Diego Esteves","Diego Moussallem","Gustavo Publio"],"abstract":"Research on question answering with knowledge base has recently seen an\nincreasing use of deep architectures. In this extended abstract, we study the\napplication of the neural machine translation paradigm for question parsing. We\nemploy a sequence-to-sequence model to learn graph patterns in the SPARQL graph\nquery language and their compositions. Instead of inducing the programs through\nquestion-answer pairs, we expect a semi-supervised approach, where alignments\nbetween questions and queries are built through templates. We argue that the\ncoverage of language utterances can be expanded using late notable works in\nnatural language generation.","url_abs":"http://arxiv.org/abs/1806.10478v2","url_pdf":"http://arxiv.org/pdf/1806.10478v2.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":"neural-machine-translation-for-query","repo_url":"https://github.com/LiberAI/NSpM","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"code-generation","task_name":"Code Generation"},{"task_slug":"knowledge-base-question-answering","task_name":"Knowledge Base Question Answering"},{"task_slug":"semantic-parsing","task_name":"Semantic Parsing"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}