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Informed\nby previous work in semantic parsing, in this paper we propose a novel neural\narchitecture powered by a grammar model to explicitly capture the target syntax\nas prior knowledge. Experiments find this an effective way to scale up to\ngeneration of complex programs from natural language descriptions, achieving\nstate-of-the-art results that well outperform previous code generation and\nsemantic parsing approaches.","url_abs":"http://arxiv.org/abs/1704.01696v1","url_pdf":"http://arxiv.org/pdf/1704.01696v1.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":"a-syntactic-neural-model-for-general-purpose","repo_url":"https://github.com/Peyvand-Andalibi/NL2Code","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"a-syntactic-neural-model-for-general-purpose","repo_url":"https://github.com/gsh2014/grammar-coarse2fine","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"a-syntactic-neural-model-for-general-purpose","repo_url":"https://github.com/pcyin/NL2code","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"a-syntactic-neural-model-for-general-purpose","repo_url":"https://github.com/pedrobragap/products_classification","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"a-syntactic-neural-model-for-general-purpose","repo_url":"https://github.com/yangkai2g7k/nl2code","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"a-syntactic-neural-model-for-general-purpose","repo_url":"https://github.com/zimengq/PyTorch-ReCode","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"code-generation","task_name":"Code Generation"},{"task_slug":"semantic-parsing","task_name":"Semantic Parsing"},{"task_slug":"text-generation","task_name":"Text Generation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1704.01696","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1704.01696"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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